diff --git a/22-05-14-Linear_Regression/Solution_2.ipynb b/22-05-14-Linear_Regression/Solution_2.ipynb
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+++ b/22-05-14-Linear_Regression/Solution_2.ipynb
@@ -0,0 +1,4209 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/Diwakar-Gupta/Data-Science-APRIL/blob/main/22-05-14-Linear_Regression/Solution_2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "nfN-MrNyNIVJ"
+      },
+      "source": [
+        "# Car Price Prediction\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "_fzMA_P4NIVR"
+      },
+      "source": [
+        "### Problem Statement\n",
+        "A Chinese automobile company Geely Auto aspires to enter the US market by setting up their manufacturing unit there and producing cars locally to give competition to their US and European counterparts. \n",
+        "\n",
+        "They have contracted an automobile consulting company to understand the factors on which the pricing of cars depends. Specifically, they want to understand the factors affecting the pricing of cars in the American market, since those may be very different from the Chinese market. The company wants to know:\n",
+        "\n",
+        "    - Which variables are significant in predicting the price of a car\n",
+        "    - How well those variables describe the price of a car\n",
+        "\n",
+        "Based on various market surveys, the consulting firm has gathered a large dataset of different types of cars across the Americal market. "
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "LpT66C_JNIVT"
+      },
+      "source": [
+        "### Business Goal \n",
+        "\n",
+        "You are required to model the price of cars with the available independent variables. It will be used by the management to understand how exactly the prices vary with the independent variables. They can accordingly manipulate the design of the cars, the business strategy etc. to meet certain price levels. Further, the model will be a good way for management to understand the pricing dynamics of a new market. "
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "**Steps You will do in this assignment**\n",
+        "\n",
+        "step1 :  Read and understand data \n",
+        "\n",
+        "step2 : Data cleaning and Preparation\n",
+        "\n",
+        "step3 : Visualizing the data \n",
+        "\n",
+        "step4 : Derive New feature \n",
+        "\n",
+        "step5 : Bivariate Ananlysis\n",
+        "\n",
+        "step6 : Dummy Variable\n",
+        "\n",
+        "step7 : Train test split and feature scalling\n",
+        "\n",
+        "step8 : prediction"
+      ],
+      "metadata": {
+        "id": "sXQq8OMGNW3p"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "_RNpZIiiNIVT"
+      },
+      "outputs": [],
+      "source": [
+        "#importing the libraries\n",
+        "import numpy as np\n",
+        "import pandas as pd\n",
+        "import matplotlib.pyplot as plt\n",
+        "import seaborn as sns"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "oDcSfREbNIVV"
+      },
+      "source": [
+        "### Step 1: Reading and Understanding the Data\n",
+        "\n",
+        "Let's start with the following steps:\n",
+        "\n",
+        "1. Importing data using the pandas library\n",
+        "2. Understanding the structure of the data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 322
+        },
+        "id": "IHVsGM5CNIVW",
+        "outputId": "4acccc1f-8411-45d2-c2d5-456f7b624df9"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "\n",
+              "  <div id=\"df-5d7939c0-f90e-456d-b328-a892623dbfe8\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>car_ID</th>\n",
+              "      <th>symboling</th>\n",
+              "      <th>CarName</th>\n",
+              "      <th>fueltype</th>\n",
+              "      <th>aspiration</th>\n",
+              "      <th>doornumber</th>\n",
+              "      <th>carbody</th>\n",
+              "      <th>drivewheel</th>\n",
+              "      <th>enginelocation</th>\n",
+              "      <th>wheelbase</th>\n",
+              "      <th>carlength</th>\n",
+              "      <th>carwidth</th>\n",
+              "      <th>carheight</th>\n",
+              "      <th>curbweight</th>\n",
+              "      <th>enginetype</th>\n",
+              "      <th>cylindernumber</th>\n",
+              "      <th>enginesize</th>\n",
+              "      <th>fuelsystem</th>\n",
+              "      <th>boreratio</th>\n",
+              "      <th>stroke</th>\n",
+              "      <th>compressionratio</th>\n",
+              "      <th>horsepower</th>\n",
+              "      <th>peakrpm</th>\n",
+              "      <th>citympg</th>\n",
+              "      <th>highwaympg</th>\n",
+              "      <th>price</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1</td>\n",
+              "      <td>3</td>\n",
+              "      <td>alfa-romero giulia</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>two</td>\n",
+              "      <td>convertible</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>88.6</td>\n",
+              "      <td>168.8</td>\n",
+              "      <td>64.1</td>\n",
+              "      <td>48.8</td>\n",
+              "      <td>2548</td>\n",
+              "      <td>dohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>130</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>111</td>\n",
+              "      <td>5000</td>\n",
+              "      <td>21</td>\n",
+              "      <td>27</td>\n",
+              "      <td>13495.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>alfa-romero stelvio</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>two</td>\n",
+              "      <td>convertible</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>88.6</td>\n",
+              "      <td>168.8</td>\n",
+              "      <td>64.1</td>\n",
+              "      <td>48.8</td>\n",
+              "      <td>2548</td>\n",
+              "      <td>dohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>130</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>111</td>\n",
+              "      <td>5000</td>\n",
+              "      <td>21</td>\n",
+              "      <td>27</td>\n",
+              "      <td>16500.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>3</td>\n",
+              "      <td>1</td>\n",
+              "      <td>alfa-romero Quadrifoglio</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>two</td>\n",
+              "      <td>hatchback</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>94.5</td>\n",
+              "      <td>171.2</td>\n",
+              "      <td>65.5</td>\n",
+              "      <td>52.4</td>\n",
+              "      <td>2823</td>\n",
+              "      <td>ohcv</td>\n",
+              "      <td>six</td>\n",
+              "      <td>152</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>154</td>\n",
+              "      <td>5000</td>\n",
+              "      <td>19</td>\n",
+              "      <td>26</td>\n",
+              "      <td>16500.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>audi 100 ls</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>four</td>\n",
+              "      <td>sedan</td>\n",
+              "      <td>fwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>99.8</td>\n",
+              "      <td>176.6</td>\n",
+              "      <td>66.2</td>\n",
+              "      <td>54.3</td>\n",
+              "      <td>2337</td>\n",
+              "      <td>ohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>109</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>10.0</td>\n",
+              "      <td>102</td>\n",
+              "      <td>5500</td>\n",
+              "      <td>24</td>\n",
+              "      <td>30</td>\n",
+              "      <td>13950.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>5</td>\n",
+              "      <td>2</td>\n",
+              "      <td>audi 100ls</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>four</td>\n",
+              "      <td>sedan</td>\n",
+              "      <td>4wd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>99.4</td>\n",
+              "      <td>176.6</td>\n",
+              "      <td>66.4</td>\n",
+              "      <td>54.3</td>\n",
+              "      <td>2824</td>\n",
+              "      <td>ohc</td>\n",
+              "      <td>five</td>\n",
+              "      <td>136</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>115</td>\n",
+              "      <td>5500</td>\n",
+              "      <td>18</td>\n",
+              "      <td>22</td>\n",
+              "      <td>17450.0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5d7939c0-f90e-456d-b328-a892623dbfe8')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-5d7939c0-f90e-456d-b328-a892623dbfe8 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-5d7939c0-f90e-456d-b328-a892623dbfe8');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ],
+            "text/plain": [
+              "   car_ID  symboling                   CarName  ... citympg highwaympg    price\n",
+              "0       1          3        alfa-romero giulia  ...      21         27  13495.0\n",
+              "1       2          3       alfa-romero stelvio  ...      21         27  16500.0\n",
+              "2       3          1  alfa-romero Quadrifoglio  ...      19         26  16500.0\n",
+              "3       4          2               audi 100 ls  ...      24         30  13950.0\n",
+              "4       5          2                audi 100ls  ...      18         22  17450.0\n",
+              "\n",
+              "[5 rows x 26 columns]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 2
+        }
+      ],
+      "source": [
+        "cars = pd.read_csv('/content/CarPrice_Assignment.csv')\n",
+        "cars.head()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "TtaFwfYsNIVX",
+        "outputId": "f8b150a0-5cd4-4d50-e1fd-4646eb10f248"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(205, 26)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 3
+        }
+      ],
+      "source": [
+        "cars.shape"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 364
+        },
+        "id": "Q-q5UIurNIVY",
+        "outputId": "d7e964ac-0329-4045-ebb2-29e79113a2f0"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "\n",
+              "  <div id=\"df-a6ee817b-1713-4cc2-b68b-32faa1f034c6\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>car_ID</th>\n",
+              "      <th>symboling</th>\n",
+              "      <th>wheelbase</th>\n",
+              "      <th>carlength</th>\n",
+              "      <th>carwidth</th>\n",
+              "      <th>carheight</th>\n",
+              "      <th>curbweight</th>\n",
+              "      <th>enginesize</th>\n",
+              "      <th>boreratio</th>\n",
+              "      <th>stroke</th>\n",
+              "      <th>compressionratio</th>\n",
+              "      <th>horsepower</th>\n",
+              "      <th>peakrpm</th>\n",
+              "      <th>citympg</th>\n",
+              "      <th>highwaympg</th>\n",
+              "      <th>price</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>205.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>103.000000</td>\n",
+              "      <td>0.834146</td>\n",
+              "      <td>98.756585</td>\n",
+              "      <td>174.049268</td>\n",
+              "      <td>65.907805</td>\n",
+              "      <td>53.724878</td>\n",
+              "      <td>2555.565854</td>\n",
+              "      <td>126.907317</td>\n",
+              "      <td>3.329756</td>\n",
+              "      <td>3.255415</td>\n",
+              "      <td>10.142537</td>\n",
+              "      <td>104.117073</td>\n",
+              "      <td>5125.121951</td>\n",
+              "      <td>25.219512</td>\n",
+              "      <td>30.751220</td>\n",
+              "      <td>13276.710571</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>59.322565</td>\n",
+              "      <td>1.245307</td>\n",
+              "      <td>6.021776</td>\n",
+              "      <td>12.337289</td>\n",
+              "      <td>2.145204</td>\n",
+              "      <td>2.443522</td>\n",
+              "      <td>520.680204</td>\n",
+              "      <td>41.642693</td>\n",
+              "      <td>0.270844</td>\n",
+              "      <td>0.313597</td>\n",
+              "      <td>3.972040</td>\n",
+              "      <td>39.544167</td>\n",
+              "      <td>476.985643</td>\n",
+              "      <td>6.542142</td>\n",
+              "      <td>6.886443</td>\n",
+              "      <td>7988.852332</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>-2.000000</td>\n",
+              "      <td>86.600000</td>\n",
+              "      <td>141.100000</td>\n",
+              "      <td>60.300000</td>\n",
+              "      <td>47.800000</td>\n",
+              "      <td>1488.000000</td>\n",
+              "      <td>61.000000</td>\n",
+              "      <td>2.540000</td>\n",
+              "      <td>2.070000</td>\n",
+              "      <td>7.000000</td>\n",
+              "      <td>48.000000</td>\n",
+              "      <td>4150.000000</td>\n",
+              "      <td>13.000000</td>\n",
+              "      <td>16.000000</td>\n",
+              "      <td>5118.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>52.000000</td>\n",
+              "      <td>0.000000</td>\n",
+              "      <td>94.500000</td>\n",
+              "      <td>166.300000</td>\n",
+              "      <td>64.100000</td>\n",
+              "      <td>52.000000</td>\n",
+              "      <td>2145.000000</td>\n",
+              "      <td>97.000000</td>\n",
+              "      <td>3.150000</td>\n",
+              "      <td>3.110000</td>\n",
+              "      <td>8.600000</td>\n",
+              "      <td>70.000000</td>\n",
+              "      <td>4800.000000</td>\n",
+              "      <td>19.000000</td>\n",
+              "      <td>25.000000</td>\n",
+              "      <td>7788.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>103.000000</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>97.000000</td>\n",
+              "      <td>173.200000</td>\n",
+              "      <td>65.500000</td>\n",
+              "      <td>54.100000</td>\n",
+              "      <td>2414.000000</td>\n",
+              "      <td>120.000000</td>\n",
+              "      <td>3.310000</td>\n",
+              "      <td>3.290000</td>\n",
+              "      <td>9.000000</td>\n",
+              "      <td>95.000000</td>\n",
+              "      <td>5200.000000</td>\n",
+              "      <td>24.000000</td>\n",
+              "      <td>30.000000</td>\n",
+              "      <td>10295.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>154.000000</td>\n",
+              "      <td>2.000000</td>\n",
+              "      <td>102.400000</td>\n",
+              "      <td>183.100000</td>\n",
+              "      <td>66.900000</td>\n",
+              "      <td>55.500000</td>\n",
+              "      <td>2935.000000</td>\n",
+              "      <td>141.000000</td>\n",
+              "      <td>3.580000</td>\n",
+              "      <td>3.410000</td>\n",
+              "      <td>9.400000</td>\n",
+              "      <td>116.000000</td>\n",
+              "      <td>5500.000000</td>\n",
+              "      <td>30.000000</td>\n",
+              "      <td>34.000000</td>\n",
+              "      <td>16503.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>205.000000</td>\n",
+              "      <td>3.000000</td>\n",
+              "      <td>120.900000</td>\n",
+              "      <td>208.100000</td>\n",
+              "      <td>72.300000</td>\n",
+              "      <td>59.800000</td>\n",
+              "      <td>4066.000000</td>\n",
+              "      <td>326.000000</td>\n",
+              "      <td>3.940000</td>\n",
+              "      <td>4.170000</td>\n",
+              "      <td>23.000000</td>\n",
+              "      <td>288.000000</td>\n",
+              "      <td>6600.000000</td>\n",
+              "      <td>49.000000</td>\n",
+              "      <td>54.000000</td>\n",
+              "      <td>45400.000000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a6ee817b-1713-4cc2-b68b-32faa1f034c6')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-a6ee817b-1713-4cc2-b68b-32faa1f034c6 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-a6ee817b-1713-4cc2-b68b-32faa1f034c6');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ],
+            "text/plain": [
+              "           car_ID   symboling   wheelbase  ...     citympg  highwaympg         price\n",
+              "count  205.000000  205.000000  205.000000  ...  205.000000  205.000000    205.000000\n",
+              "mean   103.000000    0.834146   98.756585  ...   25.219512   30.751220  13276.710571\n",
+              "std     59.322565    1.245307    6.021776  ...    6.542142    6.886443   7988.852332\n",
+              "min      1.000000   -2.000000   86.600000  ...   13.000000   16.000000   5118.000000\n",
+              "25%     52.000000    0.000000   94.500000  ...   19.000000   25.000000   7788.000000\n",
+              "50%    103.000000    1.000000   97.000000  ...   24.000000   30.000000  10295.000000\n",
+              "75%    154.000000    2.000000  102.400000  ...   30.000000   34.000000  16503.000000\n",
+              "max    205.000000    3.000000  120.900000  ...   49.000000   54.000000  45400.000000\n",
+              "\n",
+              "[8 rows x 16 columns]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 4
+        }
+      ],
+      "source": [
+        "cars.describe()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "wFHsAQvDNIVZ",
+        "outputId": "eff790f7-ce4a-4af9-9eee-459f3fefb74e"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "<class 'pandas.core.frame.DataFrame'>\n",
+            "RangeIndex: 205 entries, 0 to 204\n",
+            "Data columns (total 26 columns):\n",
+            " #   Column            Non-Null Count  Dtype  \n",
+            "---  ------            --------------  -----  \n",
+            " 0   car_ID            205 non-null    int64  \n",
+            " 1   symboling         205 non-null    int64  \n",
+            " 2   CarName           205 non-null    object \n",
+            " 3   fueltype          205 non-null    object \n",
+            " 4   aspiration        205 non-null    object \n",
+            " 5   doornumber        205 non-null    object \n",
+            " 6   carbody           205 non-null    object \n",
+            " 7   drivewheel        205 non-null    object \n",
+            " 8   enginelocation    205 non-null    object \n",
+            " 9   wheelbase         205 non-null    float64\n",
+            " 10  carlength         205 non-null    float64\n",
+            " 11  carwidth          205 non-null    float64\n",
+            " 12  carheight         205 non-null    float64\n",
+            " 13  curbweight        205 non-null    int64  \n",
+            " 14  enginetype        205 non-null    object \n",
+            " 15  cylindernumber    205 non-null    object \n",
+            " 16  enginesize        205 non-null    int64  \n",
+            " 17  fuelsystem        205 non-null    object \n",
+            " 18  boreratio         205 non-null    float64\n",
+            " 19  stroke            205 non-null    float64\n",
+            " 20  compressionratio  205 non-null    float64\n",
+            " 21  horsepower        205 non-null    int64  \n",
+            " 22  peakrpm           205 non-null    int64  \n",
+            " 23  citympg           205 non-null    int64  \n",
+            " 24  highwaympg        205 non-null    int64  \n",
+            " 25  price             205 non-null    float64\n",
+            "dtypes: float64(8), int64(8), object(10)\n",
+            "memory usage: 41.8+ KB\n"
+          ]
+        }
+      ],
+      "source": [
+        "cars.info()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cars.isnull().sum()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Dcsw7lJtPug4",
+        "outputId": "21d1ca10-d9f5-4953-cda6-c5e99acd6a4f"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "car_ID              0\n",
+              "symboling           0\n",
+              "CarName             0\n",
+              "fueltype            0\n",
+              "aspiration          0\n",
+              "doornumber          0\n",
+              "carbody             0\n",
+              "drivewheel          0\n",
+              "enginelocation      0\n",
+              "wheelbase           0\n",
+              "carlength           0\n",
+              "carwidth            0\n",
+              "carheight           0\n",
+              "curbweight          0\n",
+              "enginetype          0\n",
+              "cylindernumber      0\n",
+              "enginesize          0\n",
+              "fuelsystem          0\n",
+              "boreratio           0\n",
+              "stroke              0\n",
+              "compressionratio    0\n",
+              "horsepower          0\n",
+              "peakrpm             0\n",
+              "citympg             0\n",
+              "highwaympg          0\n",
+              "price               0\n",
+              "dtype: int64"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 6
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "kvf8eqnjNIVa"
+      },
+      "source": [
+        "### Step 2 : Data Cleaning and Preparation"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#Splitting company name from CarName column\n",
+        "CompanyName = cars['CarName'].apply(lambda x : x.split(' ')[0])\n",
+        "cars.insert(3,\"CompanyName\",CompanyName)\n",
+        "cars.drop(['CarName'],axis=1,inplace=True)\n",
+        "cars.head()"
+      ],
+      "metadata": {
+        "id": "JBKKSRUwQQ02"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 270
+        },
+        "id": "wKfwkdjtNIVa",
+        "outputId": "a05e4feb-6da9-4b50-8881-c84ea47ddec5"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "\n",
+              "  <div id=\"df-0f16aa8c-5e53-42d8-9bd8-ce0e640ef4ea\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>car_ID</th>\n",
+              "      <th>symboling</th>\n",
+              "      <th>CompanyName</th>\n",
+              "      <th>fueltype</th>\n",
+              "      <th>aspiration</th>\n",
+              "      <th>doornumber</th>\n",
+              "      <th>carbody</th>\n",
+              "      <th>drivewheel</th>\n",
+              "      <th>enginelocation</th>\n",
+              "      <th>wheelbase</th>\n",
+              "      <th>carlength</th>\n",
+              "      <th>carwidth</th>\n",
+              "      <th>carheight</th>\n",
+              "      <th>curbweight</th>\n",
+              "      <th>enginetype</th>\n",
+              "      <th>cylindernumber</th>\n",
+              "      <th>enginesize</th>\n",
+              "      <th>fuelsystem</th>\n",
+              "      <th>boreratio</th>\n",
+              "      <th>stroke</th>\n",
+              "      <th>compressionratio</th>\n",
+              "      <th>horsepower</th>\n",
+              "      <th>peakrpm</th>\n",
+              "      <th>citympg</th>\n",
+              "      <th>highwaympg</th>\n",
+              "      <th>price</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1</td>\n",
+              "      <td>3</td>\n",
+              "      <td>alfa-romero</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>two</td>\n",
+              "      <td>convertible</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>88.6</td>\n",
+              "      <td>168.8</td>\n",
+              "      <td>64.1</td>\n",
+              "      <td>48.8</td>\n",
+              "      <td>2548</td>\n",
+              "      <td>dohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>130</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>111</td>\n",
+              "      <td>5000</td>\n",
+              "      <td>21</td>\n",
+              "      <td>27</td>\n",
+              "      <td>13495.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>alfa-romero</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>two</td>\n",
+              "      <td>convertible</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>88.6</td>\n",
+              "      <td>168.8</td>\n",
+              "      <td>64.1</td>\n",
+              "      <td>48.8</td>\n",
+              "      <td>2548</td>\n",
+              "      <td>dohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>130</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>111</td>\n",
+              "      <td>5000</td>\n",
+              "      <td>21</td>\n",
+              "      <td>27</td>\n",
+              "      <td>16500.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>3</td>\n",
+              "      <td>1</td>\n",
+              "      <td>alfa-romero</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>two</td>\n",
+              "      <td>hatchback</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>94.5</td>\n",
+              "      <td>171.2</td>\n",
+              "      <td>65.5</td>\n",
+              "      <td>52.4</td>\n",
+              "      <td>2823</td>\n",
+              "      <td>ohcv</td>\n",
+              "      <td>six</td>\n",
+              "      <td>152</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>154</td>\n",
+              "      <td>5000</td>\n",
+              "      <td>19</td>\n",
+              "      <td>26</td>\n",
+              "      <td>16500.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>audi</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>four</td>\n",
+              "      <td>sedan</td>\n",
+              "      <td>fwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>99.8</td>\n",
+              "      <td>176.6</td>\n",
+              "      <td>66.2</td>\n",
+              "      <td>54.3</td>\n",
+              "      <td>2337</td>\n",
+              "      <td>ohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>109</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>10.0</td>\n",
+              "      <td>102</td>\n",
+              "      <td>5500</td>\n",
+              "      <td>24</td>\n",
+              "      <td>30</td>\n",
+              "      <td>13950.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>5</td>\n",
+              "      <td>2</td>\n",
+              "      <td>audi</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>four</td>\n",
+              "      <td>sedan</td>\n",
+              "      <td>4wd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>99.4</td>\n",
+              "      <td>176.6</td>\n",
+              "      <td>66.4</td>\n",
+              "      <td>54.3</td>\n",
+              "      <td>2824</td>\n",
+              "      <td>ohc</td>\n",
+              "      <td>five</td>\n",
+              "      <td>136</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>115</td>\n",
+              "      <td>5500</td>\n",
+              "      <td>18</td>\n",
+              "      <td>22</td>\n",
+              "      <td>17450.0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0f16aa8c-5e53-42d8-9bd8-ce0e640ef4ea')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-0f16aa8c-5e53-42d8-9bd8-ce0e640ef4ea button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-0f16aa8c-5e53-42d8-9bd8-ce0e640ef4ea');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ],
+            "text/plain": [
+              "   car_ID  symboling  CompanyName  ... citympg highwaympg    price\n",
+              "0       1          3  alfa-romero  ...      21         27  13495.0\n",
+              "1       2          3  alfa-romero  ...      21         27  16500.0\n",
+              "2       3          1  alfa-romero  ...      19         26  16500.0\n",
+              "3       4          2         audi  ...      24         30  13950.0\n",
+              "4       5          2         audi  ...      18         22  17450.0\n",
+              "\n",
+              "[5 rows x 26 columns]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 7
+        }
+      ],
+      "source": [
+        "#Splitting company name from CarName column\n",
+        "CompanyName = cars['CarName'].apply(lambda x : x.split(' ')[0])\n",
+        "cars.insert(3,\"CompanyName\",CompanyName)\n",
+        "cars.drop(['CarName'],axis=1,inplace=True)\n",
+        "cars.head()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "vDeL7D0ANIVb",
+        "outputId": "d7bfcb5d-edfa-4e22-ce74-a0a807841942"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "array(['alfa-romero', 'audi', 'bmw', 'chevrolet', 'dodge', 'honda',\n",
+              "       'isuzu', 'jaguar', 'maxda', 'mazda', 'buick', 'mercury',\n",
+              "       'mitsubishi', 'Nissan', 'nissan', 'peugeot', 'plymouth', 'porsche',\n",
+              "       'porcshce', 'renault', 'saab', 'subaru', 'toyota', 'toyouta',\n",
+              "       'vokswagen', 'volkswagen', 'vw', 'volvo'], dtype=object)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 8
+        }
+      ],
+      "source": [
+        "cars.CompanyName.unique()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "-fSMkT4qNIVc"
+      },
+      "source": [
+        "##### Fixing invalid values\n",
+        "- There seems to be some spelling error in the CompanyName column.\n",
+        "\n",
+        "    - `maxda` = `mazda`\n",
+        "    - `Nissan` = `nissan`\n",
+        "    - `porsche` = `porcshce`\n",
+        "    - `toyota` = `toyouta`\n",
+        "    - `vokswagen` = `volkswagen` =  `vw`"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "iMM3abOvNIVc",
+        "outputId": "6e2ff9d6-0d81-47a8-87bb-fb70e1afddf4"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "array(['alfa-romero', 'audi', 'bmw', 'chevrolet', 'dodge', 'honda',\n",
+              "       'isuzu', 'jaguar', 'mazda', 'buick', 'mercury', 'mitsubishi',\n",
+              "       'nissan', 'peugeot', 'plymouth', 'porsche', 'renault', 'saab',\n",
+              "       'subaru', 'toyota', 'volkswagen', 'volvo'], dtype=object)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 9
+        }
+      ],
+      "source": [
+        "cars.CompanyName = cars.CompanyName.str.lower()\n",
+        "\n",
+        "def replace_name(a,b):\n",
+        "    cars.CompanyName.replace(a,b,inplace=True)\n",
+        "\n",
+        "replace_name('maxda','mazda')\n",
+        "replace_name('porcshce','porsche')\n",
+        "replace_name('toyouta','toyota')\n",
+        "replace_name('vokswagen','volkswagen')\n",
+        "replace_name('vw','volkswagen')\n",
+        "\n",
+        "cars.CompanyName.unique()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 114
+        },
+        "id": "DXLfFwlwNIVd",
+        "outputId": "5ad683e0-21c8-491b-bbf6-74a957a96a11"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "\n",
+              "  <div id=\"df-60fb0dfd-55ef-48f7-b058-ab2fc74fa598\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>car_ID</th>\n",
+              "      <th>symboling</th>\n",
+              "      <th>CompanyName</th>\n",
+              "      <th>fueltype</th>\n",
+              "      <th>aspiration</th>\n",
+              "      <th>doornumber</th>\n",
+              "      <th>carbody</th>\n",
+              "      <th>drivewheel</th>\n",
+              "      <th>enginelocation</th>\n",
+              "      <th>wheelbase</th>\n",
+              "      <th>carlength</th>\n",
+              "      <th>carwidth</th>\n",
+              "      <th>carheight</th>\n",
+              "      <th>curbweight</th>\n",
+              "      <th>enginetype</th>\n",
+              "      <th>cylindernumber</th>\n",
+              "      <th>enginesize</th>\n",
+              "      <th>fuelsystem</th>\n",
+              "      <th>boreratio</th>\n",
+              "      <th>stroke</th>\n",
+              "      <th>compressionratio</th>\n",
+              "      <th>horsepower</th>\n",
+              "      <th>peakrpm</th>\n",
+              "      <th>citympg</th>\n",
+              "      <th>highwaympg</th>\n",
+              "      <th>price</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-60fb0dfd-55ef-48f7-b058-ab2fc74fa598')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-60fb0dfd-55ef-48f7-b058-ab2fc74fa598 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-60fb0dfd-55ef-48f7-b058-ab2fc74fa598');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ],
+            "text/plain": [
+              "Empty DataFrame\n",
+              "Columns: [car_ID, symboling, CompanyName, fueltype, aspiration, doornumber, carbody, drivewheel, enginelocation, wheelbase, carlength, carwidth, carheight, curbweight, enginetype, cylindernumber, enginesize, fuelsystem, boreratio, stroke, compressionratio, horsepower, peakrpm, citympg, highwaympg, price]\n",
+              "Index: []"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 10
+        }
+      ],
+      "source": [
+        "#Checking for duplicates\n",
+        "cars.loc[cars.duplicated()]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "1TYEHW0PNIVd",
+        "outputId": "67d299a4-0488-429d-cf17-e07a609418c4"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Index(['car_ID', 'symboling', 'CompanyName', 'fueltype', 'aspiration',\n",
+              "       'doornumber', 'carbody', 'drivewheel', 'enginelocation', 'wheelbase',\n",
+              "       'carlength', 'carwidth', 'carheight', 'curbweight', 'enginetype',\n",
+              "       'cylindernumber', 'enginesize', 'fuelsystem', 'boreratio', 'stroke',\n",
+              "       'compressionratio', 'horsepower', 'peakrpm', 'citympg', 'highwaympg',\n",
+              "       'price'],\n",
+              "      dtype='object')"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 11
+        }
+      ],
+      "source": [
+        "cars.columns"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "40z8JrfYNIVe"
+      },
+      "source": [
+        "### Step 3: Visualizing the data\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 554
+        },
+        "id": "qqKpy1AhNIVe",
+        "outputId": "6916fde7-10f7-4e76-9648-d525f8b8c969"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+            "  warnings.warn(msg, FutureWarning)\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 1440x576 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "plt.figure(figsize=(20,8))\n",
+        "\n",
+        "plt.subplot(1,2,1)\n",
+        "plt.title('Car Price Distribution Plot')\n",
+        "sns.distplot(cars.price)\n",
+        "\n",
+        "plt.subplot(1,2,2)\n",
+        "plt.title('Car Price Spread')\n",
+        "sns.boxplot(y=cars.price)\n",
+        "\n",
+        "plt.show()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "HcldUpFvNIVf",
+        "outputId": "d7625df8-deb1-4117-8bd1-eb580686c7b9"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "count      205.000000\n",
+            "mean     13276.710571\n",
+            "std       7988.852332\n",
+            "min       5118.000000\n",
+            "25%       7788.000000\n",
+            "50%      10295.000000\n",
+            "75%      16503.000000\n",
+            "85%      18500.000000\n",
+            "90%      22563.000000\n",
+            "100%     45400.000000\n",
+            "max      45400.000000\n",
+            "Name: price, dtype: float64\n"
+          ]
+        }
+      ],
+      "source": [
+        "print(cars.price.describe(percentiles = [0.25,0.50,0.75,0.85,0.90,1]))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ZU5tFeHKNIVf"
+      },
+      "source": [
+        "#### Inference :\n",
+        "\n",
+        "1. The plot seemed to be right-skewed, meaning that the most prices in the dataset are low(Below 15,000).\n",
+        "2. There is a significant difference between the mean and the median of the price distribution.\n",
+        "3. The data points are far spread out from the mean, which indicates a high variance in the car prices.(85% of the prices are below 18,500, whereas the remaining 15% are between 18,500 and 45,400.)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "RC6HLkq4NIVg"
+      },
+      "source": [
+        "#### Step 3.1 : Visualising Categorical Data\n",
+        "\n",
+        "    - CompanyName\n",
+        "    - fueltype\n",
+        "    - carbody\n",
+        "    - Symboling\n",
+        "    - enginetype\n",
+        "    - doornumber\n",
+        "    - enginelocation\n",
+        "    - fuelsystem\n",
+        "    - cylindernumber\n",
+        "    - aspiration\n",
+        "    - drivewheel"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 367
+        },
+        "id": "NRNlwbiiNIVg",
+        "outputId": "a8b181f3-50d7-42fd-ff78-811312a02f65"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 1800x432 with 3 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "plt.figure(figsize=(25, 6))\n",
+        "\n",
+        "plt.subplot(1,3,1)\n",
+        "plt1 = cars.CompanyName.value_counts().plot(kind='bar')\n",
+        "plt.title('Companies Histogram')\n",
+        "plt1.set(xlabel = 'Car company', ylabel='Frequency of company')\n",
+        "\n",
+        "plt.subplot(1,3,2)\n",
+        "plt1 = cars.fueltype.value_counts().plot(kind='bar')\n",
+        "plt.title('Fuel Type Histogram')\n",
+        "plt1.set(xlabel = 'Fuel Type', ylabel='Frequency of fuel type')\n",
+        "\n",
+        "plt.subplot(1,3,3)\n",
+        "plt1 = cars.carbody.value_counts().plot(kind = 'bar')\n",
+        "plt.title('Car Type Histogram')\n",
+        "plt1.set(xlabel = 'Car Type', ylabel='Frequency of Car type')\n",
+        "\n",
+        "plt.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "mSx8xFjpNIVh"
+      },
+      "source": [
+        "#### Inference :\n",
+        "\n",
+        "1. `Toyota` seemed to be favored car company.\n",
+        "2. Number of `gas` fueled cars are more than `diesel`.\n",
+        "3. `sedan` is the top car type prefered."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 566
+        },
+        "id": "KMeVVnqYNIVh",
+        "outputId": "494ff572-90ee-4dfa-88b7-c7da13c20aea"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+            "  FutureWarning\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 1440x576 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "plt.figure(figsize=(20,8))\n",
+        "\n",
+        "plt.subplot(1,2,1)\n",
+        "plt.title('Symboling Histogram')\n",
+        "sns.countplot(cars.symboling, palette=(\"cubehelix\"))\n",
+        "\n",
+        "plt.subplot(1,2,2)\n",
+        "plt.title('Symboling vs Price')\n",
+        "sns.boxplot(x=cars.symboling, y=cars.price, palette=(\"cubehelix\"))\n",
+        "\n",
+        "plt.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "bYQt-c6uNIVi"
+      },
+      "source": [
+        "#### Inference :\n",
+        "\n",
+        "1. It seems that the symboling with `0` and `1` values have high number of rows (i.e. They are most sold.)\n",
+        "2. The cars with `-1` symboling seems to be high priced (as it makes sense too, insurance risk rating -1 is quite good). But it seems that symboling with `3` value has the price range similar to `-2` value. There is a dip in price at symboling `1`."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 970
+        },
+        "id": "F9BNlVGyNIVi",
+        "outputId": "81849a8e-9065-4c37-a7e5-fc966854590a"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+            "  FutureWarning\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 1440x576 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 576x432 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "plt.figure(figsize=(20,8))\n",
+        "\n",
+        "plt.subplot(1,2,1)\n",
+        "plt.title('Engine Type Histogram')\n",
+        "sns.countplot(cars.enginetype, palette=(\"Blues_d\"))\n",
+        "\n",
+        "plt.subplot(1,2,2)\n",
+        "plt.title('Engine Type vs Price')\n",
+        "sns.boxplot(x=cars.enginetype, y=cars.price, palette=(\"PuBuGn\"))\n",
+        "\n",
+        "plt.show()\n",
+        "\n",
+        "df = pd.DataFrame(cars.groupby(['enginetype'])['price'].mean().sort_values(ascending = False))\n",
+        "df.plot.bar(figsize=(8,6))\n",
+        "plt.title('Engine Type vs Average Price')\n",
+        "plt.show()\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "DWzOb0c1NIVi"
+      },
+      "source": [
+        "#### Inference :\n",
+        "\n",
+        "1. `ohc` Engine type seems to be most favored type.\n",
+        "2. `ohcv` has the highest price range (While `dohcv` has only one row), `ohc` and `ohcf` have the low price range."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 983
+        },
+        "id": "NnTOFOnuNIVi",
+        "outputId": "9347b7e2-49b9-46f8-e561-62ffca720aad"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1800x432 with 0 Axes>"
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 432x288 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 432x288 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 432x288 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "plt.figure(figsize=(25, 6))\n",
+        "\n",
+        "df = pd.DataFrame(cars.groupby(['CompanyName'])['price'].mean().sort_values(ascending = False))\n",
+        "df.plot.bar()\n",
+        "plt.title('Company Name vs Average Price')\n",
+        "plt.show()\n",
+        "\n",
+        "df = pd.DataFrame(cars.groupby(['fueltype'])['price'].mean().sort_values(ascending = False))\n",
+        "df.plot.bar()\n",
+        "plt.title('Fuel Type vs Average Price')\n",
+        "plt.show()\n",
+        "\n",
+        "df = pd.DataFrame(cars.groupby(['carbody'])['price'].mean().sort_values(ascending = False))\n",
+        "df.plot.bar()\n",
+        "plt.title('Car Type vs Average Price')\n",
+        "plt.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "SjLjnP1ONIVj"
+      },
+      "source": [
+        "#### Inference :\n",
+        "\n",
+        "1. `Jaguar` and `Buick` seem to have highest average price.\n",
+        "2. `diesel` has higher average price than  gas.\n",
+        "3. `hardtop` and `convertible` have higher average price."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 773
+        },
+        "id": "MYrU9O7xNIVj",
+        "outputId": "70ddb18c-2940-433d-d866-75da6de37ae6"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+            "  FutureWarning\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 1080x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+            "  FutureWarning\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 1080x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "plt.figure(figsize=(15,5))\n",
+        "\n",
+        "plt.subplot(1,2,1)\n",
+        "plt.title('Door Number Histogram')\n",
+        "sns.countplot(cars.doornumber, palette=(\"plasma\"))\n",
+        "\n",
+        "plt.subplot(1,2,2)\n",
+        "plt.title('Door Number vs Price')\n",
+        "sns.boxplot(x=cars.doornumber, y=cars.price, palette=(\"plasma\"))\n",
+        "\n",
+        "plt.show()\n",
+        "\n",
+        "plt.figure(figsize=(15,5))\n",
+        "\n",
+        "plt.subplot(1,2,1)\n",
+        "plt.title('Aspiration Histogram')\n",
+        "sns.countplot(cars.aspiration, palette=(\"plasma\"))\n",
+        "\n",
+        "plt.subplot(1,2,2)\n",
+        "plt.title('Aspiration vs Price')\n",
+        "sns.boxplot(x=cars.aspiration, y=cars.price, palette=(\"plasma\"))\n",
+        "\n",
+        "plt.show()\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "kt3QxwMxNIVj"
+      },
+      "source": [
+        "#### Inference :\n",
+        "\n",
+        "1. `doornumber` variable is not affacting the price much. There is no sugnificant difference between the categories in it.\n",
+        "2. It seems aspiration with `turbo` have higher price range than the `std`(though it has some high values outside the whiskers.)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "PO76_sgJNIVk",
+        "outputId": "5abbca09-211a-4999-965a-96e0397bf86c"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+            "  FutureWarning\n",
+            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+            "  FutureWarning\n",
+            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+            "  FutureWarning\n",
+            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
+            "  FutureWarning\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 1080x1440 with 8 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "def plot_count(x,fig):\n",
+        "    plt.subplot(4,2,fig)\n",
+        "    plt.title(x+' Histogram')\n",
+        "    sns.countplot(cars[x],palette=(\"magma\"))\n",
+        "    plt.subplot(4,2,(fig+1))\n",
+        "    plt.title(x+' vs Price')\n",
+        "    sns.boxplot(x=cars[x], y=cars.price, palette=(\"magma\"))\n",
+        "    \n",
+        "plt.figure(figsize=(15,20))\n",
+        "\n",
+        "plot_count('enginelocation', 1)\n",
+        "plot_count('cylindernumber', 3)\n",
+        "plot_count('fuelsystem', 5)\n",
+        "plot_count('drivewheel', 7)\n",
+        "\n",
+        "plt.tight_layout()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "PKlFXi3jNIVk"
+      },
+      "source": [
+        "#### Inference :\n",
+        "\n",
+        "1. Very few datapoints for `enginelocation` categories to make an inference.\n",
+        "2. Most common number of cylinders are `four`, `six` and `five`. Though `eight` cylinders have the highest price range.\n",
+        "3. `mpfi` and `2bbl` are most common type of fuel systems. `mpfi` and `idi` having the highest price range. But there are few data for other categories to derive any meaningful inference\n",
+        "4. A very significant difference in drivewheel category. Most high ranged cars seeme to prefer `rwd` drivewheel."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "FD3HflhhNIVk"
+      },
+      "source": [
+        "#### Step 3.2 : Visualising numerical data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 604
+        },
+        "id": "b-DOk4m0NIVk",
+        "outputId": "55b59a5f-e458-4a13-8825-5c04db8b8471"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 720x1440 with 4 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "def scatter(x,fig):\n",
+        "    plt.subplot(5,2,fig)\n",
+        "    plt.scatter(cars[x],cars['price'])\n",
+        "    plt.title(x+' vs Price')\n",
+        "    plt.ylabel('Price')\n",
+        "    plt.xlabel(x)\n",
+        "\n",
+        "plt.figure(figsize=(10,20))\n",
+        "\n",
+        "scatter('carlength', 1)\n",
+        "scatter('carwidth', 2)\n",
+        "scatter('carheight', 3)\n",
+        "scatter('curbweight', 4)\n",
+        "\n",
+        "plt.tight_layout()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "a2mgCLooNIVl"
+      },
+      "source": [
+        "#### Inference :\n",
+        "\n",
+        "1. `carwidth`, `carlength` and `curbweight` seems to have a poitive correlation with `price`. \n",
+        "2. `carheight` doesn't show any significant trend with price."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 999
+        },
+        "id": "HBRDcRoyNIVl",
+        "outputId": "af3ce771-46a3-4d0d-832e-ad8d6f7a9857"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/seaborn/axisgrid.py:2076: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
+            "  warnings.warn(msg, UserWarning)\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 864x288 with 3 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/seaborn/axisgrid.py:2076: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
+            "  warnings.warn(msg, UserWarning)\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 864x288 with 3 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/seaborn/axisgrid.py:2076: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
+            "  warnings.warn(msg, UserWarning)\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 864x288 with 3 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "def pp(x,y,z):\n",
+        "    sns.pairplot(cars, x_vars=[x,y,z], y_vars='price',size=4, aspect=1, kind='scatter')\n",
+        "    plt.show()\n",
+        "\n",
+        "pp('enginesize', 'boreratio', 'stroke')\n",
+        "pp('compressionratio', 'horsepower', 'peakrpm')\n",
+        "pp('wheelbase', 'citympg', 'highwaympg')"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "0AN05xrvNIVl"
+      },
+      "source": [
+        "#### Inference :\n",
+        "\n",
+        "1. `enginesize`, `boreratio`, `horsepower`, `wheelbase` - seem to have a significant positive correlation with price.\n",
+        "2. `citympg`, `highwaympg` - seem to have a significant negative correlation with price."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "j1bxnexKNIVm",
+        "outputId": "83141b7f-425e-4acf-fd82-7a0088720cbf"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "0.841118268481846"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 25
+        }
+      ],
+      "source": [
+        "np.corrcoef(cars['carlength'], cars['carwidth'])[0, 1]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "4SiwAQvuNIVm"
+      },
+      "source": [
+        "### Step 4 : Deriving new features"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "n-H9rplUNIVm"
+      },
+      "outputs": [],
+      "source": [
+        "#Fuel economy\n",
+        "cars['fueleconomy'] = (0.55 * cars['citympg']) + (0.45 * cars['highwaympg'])"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 270
+        },
+        "id": "m30sCyAPNIVm",
+        "outputId": "eda2349f-bfd4-4cdf-82d2-c6eadb7c443f"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "\n",
+              "  <div id=\"df-5d229df9-c647-432e-81f2-fa971a0d8ed8\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>car_ID</th>\n",
+              "      <th>symboling</th>\n",
+              "      <th>CompanyName</th>\n",
+              "      <th>fueltype</th>\n",
+              "      <th>aspiration</th>\n",
+              "      <th>doornumber</th>\n",
+              "      <th>carbody</th>\n",
+              "      <th>drivewheel</th>\n",
+              "      <th>enginelocation</th>\n",
+              "      <th>wheelbase</th>\n",
+              "      <th>carlength</th>\n",
+              "      <th>carwidth</th>\n",
+              "      <th>carheight</th>\n",
+              "      <th>curbweight</th>\n",
+              "      <th>enginetype</th>\n",
+              "      <th>cylindernumber</th>\n",
+              "      <th>enginesize</th>\n",
+              "      <th>fuelsystem</th>\n",
+              "      <th>boreratio</th>\n",
+              "      <th>stroke</th>\n",
+              "      <th>compressionratio</th>\n",
+              "      <th>horsepower</th>\n",
+              "      <th>peakrpm</th>\n",
+              "      <th>citympg</th>\n",
+              "      <th>highwaympg</th>\n",
+              "      <th>price</th>\n",
+              "      <th>fueleconomy</th>\n",
+              "      <th>carsrange</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1</td>\n",
+              "      <td>3</td>\n",
+              "      <td>alfa-romero</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>two</td>\n",
+              "      <td>convertible</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>88.6</td>\n",
+              "      <td>168.8</td>\n",
+              "      <td>64.1</td>\n",
+              "      <td>48.8</td>\n",
+              "      <td>2548</td>\n",
+              "      <td>dohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>130</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>111</td>\n",
+              "      <td>5000</td>\n",
+              "      <td>21</td>\n",
+              "      <td>27</td>\n",
+              "      <td>13495</td>\n",
+              "      <td>23.70</td>\n",
+              "      <td>Medium</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>alfa-romero</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>two</td>\n",
+              "      <td>convertible</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>88.6</td>\n",
+              "      <td>168.8</td>\n",
+              "      <td>64.1</td>\n",
+              "      <td>48.8</td>\n",
+              "      <td>2548</td>\n",
+              "      <td>dohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>130</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>111</td>\n",
+              "      <td>5000</td>\n",
+              "      <td>21</td>\n",
+              "      <td>27</td>\n",
+              "      <td>16500</td>\n",
+              "      <td>23.70</td>\n",
+              "      <td>Medium</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>3</td>\n",
+              "      <td>1</td>\n",
+              "      <td>alfa-romero</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>two</td>\n",
+              "      <td>hatchback</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>94.5</td>\n",
+              "      <td>171.2</td>\n",
+              "      <td>65.5</td>\n",
+              "      <td>52.4</td>\n",
+              "      <td>2823</td>\n",
+              "      <td>ohcv</td>\n",
+              "      <td>six</td>\n",
+              "      <td>152</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>154</td>\n",
+              "      <td>5000</td>\n",
+              "      <td>19</td>\n",
+              "      <td>26</td>\n",
+              "      <td>16500</td>\n",
+              "      <td>22.15</td>\n",
+              "      <td>Medium</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>audi</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>four</td>\n",
+              "      <td>sedan</td>\n",
+              "      <td>fwd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>99.8</td>\n",
+              "      <td>176.6</td>\n",
+              "      <td>66.2</td>\n",
+              "      <td>54.3</td>\n",
+              "      <td>2337</td>\n",
+              "      <td>ohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>109</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>10.0</td>\n",
+              "      <td>102</td>\n",
+              "      <td>5500</td>\n",
+              "      <td>24</td>\n",
+              "      <td>30</td>\n",
+              "      <td>13950</td>\n",
+              "      <td>26.70</td>\n",
+              "      <td>Medium</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>5</td>\n",
+              "      <td>2</td>\n",
+              "      <td>audi</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>four</td>\n",
+              "      <td>sedan</td>\n",
+              "      <td>4wd</td>\n",
+              "      <td>front</td>\n",
+              "      <td>99.4</td>\n",
+              "      <td>176.6</td>\n",
+              "      <td>66.4</td>\n",
+              "      <td>54.3</td>\n",
+              "      <td>2824</td>\n",
+              "      <td>ohc</td>\n",
+              "      <td>five</td>\n",
+              "      <td>136</td>\n",
+              "      <td>mpfi</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>115</td>\n",
+              "      <td>5500</td>\n",
+              "      <td>18</td>\n",
+              "      <td>22</td>\n",
+              "      <td>17450</td>\n",
+              "      <td>19.80</td>\n",
+              "      <td>Medium</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5d229df9-c647-432e-81f2-fa971a0d8ed8')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-5d229df9-c647-432e-81f2-fa971a0d8ed8 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-5d229df9-c647-432e-81f2-fa971a0d8ed8');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ],
+            "text/plain": [
+              "   car_ID  symboling  CompanyName  ...  price fueleconomy carsrange\n",
+              "0       1          3  alfa-romero  ...  13495       23.70    Medium\n",
+              "1       2          3  alfa-romero  ...  16500       23.70    Medium\n",
+              "2       3          1  alfa-romero  ...  16500       22.15    Medium\n",
+              "3       4          2         audi  ...  13950       26.70    Medium\n",
+              "4       5          2         audi  ...  17450       19.80    Medium\n",
+              "\n",
+              "[5 rows x 28 columns]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 27
+        }
+      ],
+      "source": [
+        "#Binning the Car Companies based on avg prices of each Company.\n",
+        "cars['price'] = cars['price'].astype('int')\n",
+        "temp = cars.copy()\n",
+        "table = temp.groupby(['CompanyName'])['price'].mean()\n",
+        "temp = temp.merge(table.reset_index(), how='left',on='CompanyName')\n",
+        "bins = [0,10000,20000,40000]\n",
+        "cars_bin=['Budget','Medium','Highend']\n",
+        "cars['carsrange'] = pd.cut(temp['price_y'],bins,right=False,labels=cars_bin)\n",
+        "cars.head()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "nykY5q8qNIVn"
+      },
+      "source": [
+        "### Step 5 : Bivariate Analysis"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 422
+        },
+        "id": "4JA98GbWNIVn",
+        "outputId": "8bfc23bd-5d18-4ac1-9916-6c4db3ff839c"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 576x432 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 432x288 with 0 Axes>"
+            ]
+          },
+          "metadata": {}
+        }
+      ],
+      "source": [
+        "plt.figure(figsize=(8,6))\n",
+        "\n",
+        "plt.title('Fuel economy vs Price')\n",
+        "sns.scatterplot(x=cars['fueleconomy'],y=cars['price'],hue=cars['drivewheel'])\n",
+        "plt.xlabel('Fuel Economy')\n",
+        "plt.ylabel('Price')\n",
+        "\n",
+        "plt.show()\n",
+        "plt.tight_layout()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "4d0kobcbNIVn"
+      },
+      "source": [
+        "#### Inference :\n",
+        "\n",
+        "1. `fueleconomy` has an obvios `negative correlation` with price and is significant."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "45Is02eMNIVo"
+      },
+      "source": [
+        "### List of significant variables after Visual analysis :\n",
+        "\n",
+        "    - Car Range \n",
+        "    - Engine Type \n",
+        "    - Fuel type \n",
+        "    - Car Body \n",
+        "    - Aspiration \n",
+        "    - Cylinder Number \n",
+        "    - Drivewheel \n",
+        "    - Curbweight \n",
+        "    - Car Length\n",
+        "    - Car width\n",
+        "    - Engine Size \n",
+        "    - Boreratio \n",
+        "    - Horse Power \n",
+        "    - Wheel base \n",
+        "    - Fuel Economy "
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 270
+        },
+        "id": "3t-lZ-SLNIVp",
+        "outputId": "6199ecda-5ebe-46dc-d2d1-32a9f9bd0192"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "\n",
+              "  <div id=\"df-6b0bb3a9-b2d9-4ce9-a29a-c48f783370c9\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>price</th>\n",
+              "      <th>fueltype</th>\n",
+              "      <th>aspiration</th>\n",
+              "      <th>carbody</th>\n",
+              "      <th>drivewheel</th>\n",
+              "      <th>wheelbase</th>\n",
+              "      <th>curbweight</th>\n",
+              "      <th>enginetype</th>\n",
+              "      <th>cylindernumber</th>\n",
+              "      <th>enginesize</th>\n",
+              "      <th>boreratio</th>\n",
+              "      <th>horsepower</th>\n",
+              "      <th>fueleconomy</th>\n",
+              "      <th>carlength</th>\n",
+              "      <th>carwidth</th>\n",
+              "      <th>carsrange</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>13495</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>convertible</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>88.6</td>\n",
+              "      <td>2548</td>\n",
+              "      <td>dohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>130</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>111</td>\n",
+              "      <td>23.70</td>\n",
+              "      <td>168.8</td>\n",
+              "      <td>64.1</td>\n",
+              "      <td>Medium</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>16500</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>convertible</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>88.6</td>\n",
+              "      <td>2548</td>\n",
+              "      <td>dohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>130</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>111</td>\n",
+              "      <td>23.70</td>\n",
+              "      <td>168.8</td>\n",
+              "      <td>64.1</td>\n",
+              "      <td>Medium</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>16500</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>hatchback</td>\n",
+              "      <td>rwd</td>\n",
+              "      <td>94.5</td>\n",
+              "      <td>2823</td>\n",
+              "      <td>ohcv</td>\n",
+              "      <td>six</td>\n",
+              "      <td>152</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>154</td>\n",
+              "      <td>22.15</td>\n",
+              "      <td>171.2</td>\n",
+              "      <td>65.5</td>\n",
+              "      <td>Medium</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>13950</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>sedan</td>\n",
+              "      <td>fwd</td>\n",
+              "      <td>99.8</td>\n",
+              "      <td>2337</td>\n",
+              "      <td>ohc</td>\n",
+              "      <td>four</td>\n",
+              "      <td>109</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>102</td>\n",
+              "      <td>26.70</td>\n",
+              "      <td>176.6</td>\n",
+              "      <td>66.2</td>\n",
+              "      <td>Medium</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>17450</td>\n",
+              "      <td>gas</td>\n",
+              "      <td>std</td>\n",
+              "      <td>sedan</td>\n",
+              "      <td>4wd</td>\n",
+              "      <td>99.4</td>\n",
+              "      <td>2824</td>\n",
+              "      <td>ohc</td>\n",
+              "      <td>five</td>\n",
+              "      <td>136</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>115</td>\n",
+              "      <td>19.80</td>\n",
+              "      <td>176.6</td>\n",
+              "      <td>66.4</td>\n",
+              "      <td>Medium</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6b0bb3a9-b2d9-4ce9-a29a-c48f783370c9')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-6b0bb3a9-b2d9-4ce9-a29a-c48f783370c9 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-6b0bb3a9-b2d9-4ce9-a29a-c48f783370c9');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ],
+            "text/plain": [
+              "   price fueltype aspiration  ... carlength carwidth  carsrange\n",
+              "0  13495      gas        std  ...     168.8     64.1     Medium\n",
+              "1  16500      gas        std  ...     168.8     64.1     Medium\n",
+              "2  16500      gas        std  ...     171.2     65.5     Medium\n",
+              "3  13950      gas        std  ...     176.6     66.2     Medium\n",
+              "4  17450      gas        std  ...     176.6     66.4     Medium\n",
+              "\n",
+              "[5 rows x 16 columns]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 32
+        }
+      ],
+      "source": [
+        "cars_lr = cars[['price', 'fueltype', 'aspiration','carbody', 'drivewheel','wheelbase',\n",
+        "                  'curbweight', 'enginetype', 'cylindernumber', 'enginesize', 'boreratio','horsepower', \n",
+        "                    'fueleconomy', 'carlength','carwidth', 'carsrange']]\n",
+        "cars_lr.head()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "ERsU8hUXNIVp",
+        "outputId": "98b986f9-31a9-4959-bf36-b9f1048a37e5"
+      },
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<Figure size 1620x1620 with 90 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "sns.pairplot(cars_lr)\n",
+        "plt.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "JRgGXylcNIVq"
+      },
+      "source": [
+        "### Step 6 : Dummy Variables"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Y3h-LpcjNIVq"
+      },
+      "outputs": [],
+      "source": [
+        "# Defining the map function\n",
+        "def dummies(x,df):\n",
+        "    temp = pd.get_dummies(df[x], drop_first = True)\n",
+        "    df = pd.concat([df, temp], axis = 1)\n",
+        "    df.drop([x], axis = 1, inplace = True)\n",
+        "    return df\n",
+        "# Applying the function to the cars_lr\n",
+        "\n",
+        "cars_lr = dummies('fueltype',cars_lr)\n",
+        "cars_lr = dummies('aspiration',cars_lr)\n",
+        "cars_lr = dummies('carbody',cars_lr)\n",
+        "cars_lr = dummies('drivewheel',cars_lr)\n",
+        "cars_lr = dummies('enginetype',cars_lr)\n",
+        "cars_lr = dummies('cylindernumber',cars_lr)\n",
+        "cars_lr = dummies('carsrange',cars_lr)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 270
+        },
+        "id": "x6RYf3H-NIVr",
+        "outputId": "d8057ac7-123c-4a43-b39d-78ec7dce1ab3"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "\n",
+              "  <div id=\"df-f4ffb9be-c0ae-4af2-8af9-49f4e61e2aa2\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>price</th>\n",
+              "      <th>wheelbase</th>\n",
+              "      <th>curbweight</th>\n",
+              "      <th>enginesize</th>\n",
+              "      <th>boreratio</th>\n",
+              "      <th>horsepower</th>\n",
+              "      <th>fueleconomy</th>\n",
+              "      <th>carlength</th>\n",
+              "      <th>carwidth</th>\n",
+              "      <th>gas</th>\n",
+              "      <th>turbo</th>\n",
+              "      <th>hardtop</th>\n",
+              "      <th>hatchback</th>\n",
+              "      <th>sedan</th>\n",
+              "      <th>wagon</th>\n",
+              "      <th>fwd</th>\n",
+              "      <th>rwd</th>\n",
+              "      <th>dohcv</th>\n",
+              "      <th>l</th>\n",
+              "      <th>ohc</th>\n",
+              "      <th>ohcf</th>\n",
+              "      <th>ohcv</th>\n",
+              "      <th>rotor</th>\n",
+              "      <th>five</th>\n",
+              "      <th>four</th>\n",
+              "      <th>six</th>\n",
+              "      <th>three</th>\n",
+              "      <th>twelve</th>\n",
+              "      <th>two</th>\n",
+              "      <th>Medium</th>\n",
+              "      <th>Highend</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>13495</td>\n",
+              "      <td>88.6</td>\n",
+              "      <td>2548</td>\n",
+              "      <td>130</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>111</td>\n",
+              "      <td>23.70</td>\n",
+              "      <td>168.8</td>\n",
+              "      <td>64.1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>16500</td>\n",
+              "      <td>88.6</td>\n",
+              "      <td>2548</td>\n",
+              "      <td>130</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>111</td>\n",
+              "      <td>23.70</td>\n",
+              "      <td>168.8</td>\n",
+              "      <td>64.1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>16500</td>\n",
+              "      <td>94.5</td>\n",
+              "      <td>2823</td>\n",
+              "      <td>152</td>\n",
+              "      <td>2.68</td>\n",
+              "      <td>154</td>\n",
+              "      <td>22.15</td>\n",
+              "      <td>171.2</td>\n",
+              "      <td>65.5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>13950</td>\n",
+              "      <td>99.8</td>\n",
+              "      <td>2337</td>\n",
+              "      <td>109</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>102</td>\n",
+              "      <td>26.70</td>\n",
+              "      <td>176.6</td>\n",
+              "      <td>66.2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>17450</td>\n",
+              "      <td>99.4</td>\n",
+              "      <td>2824</td>\n",
+              "      <td>136</td>\n",
+              "      <td>3.19</td>\n",
+              "      <td>115</td>\n",
+              "      <td>19.80</td>\n",
+              "      <td>176.6</td>\n",
+              "      <td>66.4</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f4ffb9be-c0ae-4af2-8af9-49f4e61e2aa2')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-f4ffb9be-c0ae-4af2-8af9-49f4e61e2aa2 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-f4ffb9be-c0ae-4af2-8af9-49f4e61e2aa2');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ],
+            "text/plain": [
+              "   price  wheelbase  curbweight  enginesize  ...  twelve  two  Medium  Highend\n",
+              "0  13495       88.6        2548         130  ...       0    0       1        0\n",
+              "1  16500       88.6        2548         130  ...       0    0       1        0\n",
+              "2  16500       94.5        2823         152  ...       0    0       1        0\n",
+              "3  13950       99.8        2337         109  ...       0    0       1        0\n",
+              "4  17450       99.4        2824         136  ...       0    0       1        0\n",
+              "\n",
+              "[5 rows x 31 columns]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 35
+        }
+      ],
+      "source": [
+        "cars_lr.head()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "L-8ME1RwNIVr",
+        "outputId": "cf9eead9-526e-4d6e-f273-ccbedb783faf"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(205, 31)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 36
+        }
+      ],
+      "source": [
+        "cars_lr.shape"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "X = cars_lr.drop('price', axis=1)\n",
+        "y = cars_lr['price']"
+      ],
+      "metadata": {
+        "id": "D9hBkGtjZ34W"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "_n69Qq18NIVr"
+      },
+      "source": [
+        "### Step 7 : Train-Test Split and feature scaling"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "8DB5TzBRNIVr"
+      },
+      "outputs": [],
+      "source": [
+        "from sklearn.model_selection import train_test_split\n",
+        "xtrain, xtest, ytrain, ytest = train_test_split(X, y, test_size = 0.3, random_state = 42)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(xtrain.shape, xtest.shape, ytest.shape, ytrain.shape)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "J7engXQJY9G1",
+        "outputId": "7d139bb1-6063-4b9d-ebaa-a9b5e1570388"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "(143, 30) (62, 30) (62,) (143,)\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "xtrain"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 487
+        },
+        "id": "rRz0SmS0agsX",
+        "outputId": "d2657787-083d-4f94-83e4-44b493131611"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "\n",
+              "  <div id=\"df-6964a149-7d82-42d2-8a1c-c015c28156af\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>wheelbase</th>\n",
+              "      <th>curbweight</th>\n",
+              "      <th>enginesize</th>\n",
+              "      <th>boreratio</th>\n",
+              "      <th>horsepower</th>\n",
+              "      <th>fueleconomy</th>\n",
+              "      <th>carlength</th>\n",
+              "      <th>carwidth</th>\n",
+              "      <th>gas</th>\n",
+              "      <th>turbo</th>\n",
+              "      <th>hardtop</th>\n",
+              "      <th>hatchback</th>\n",
+              "      <th>sedan</th>\n",
+              "      <th>wagon</th>\n",
+              "      <th>fwd</th>\n",
+              "      <th>rwd</th>\n",
+              "      <th>dohcv</th>\n",
+              "      <th>l</th>\n",
+              "      <th>ohc</th>\n",
+              "      <th>ohcf</th>\n",
+              "      <th>ohcv</th>\n",
+              "      <th>rotor</th>\n",
+              "      <th>five</th>\n",
+              "      <th>four</th>\n",
+              "      <th>six</th>\n",
+              "      <th>three</th>\n",
+              "      <th>twelve</th>\n",
+              "      <th>two</th>\n",
+              "      <th>Medium</th>\n",
+              "      <th>Highend</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>177</th>\n",
+              "      <td>102.4</td>\n",
+              "      <td>2458</td>\n",
+              "      <td>122</td>\n",
+              "      <td>3.31</td>\n",
+              "      <td>92</td>\n",
+              "      <td>29.25</td>\n",
+              "      <td>175.6</td>\n",
+              "      <td>66.5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75</th>\n",
+              "      <td>102.7</td>\n",
+              "      <td>2910</td>\n",
+              "      <td>140</td>\n",
+              "      <td>3.78</td>\n",
+              "      <td>175</td>\n",
+              "      <td>21.25</td>\n",
+              "      <td>178.4</td>\n",
+              "      <td>68.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>174</th>\n",
+              "      <td>102.4</td>\n",
+              "      <td>2480</td>\n",
+              "      <td>110</td>\n",
+              "      <td>3.27</td>\n",
+              "      <td>73</td>\n",
+              "      <td>31.35</td>\n",
+              "      <td>175.6</td>\n",
+              "      <td>66.5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>31</th>\n",
+              "      <td>86.6</td>\n",
+              "      <td>1819</td>\n",
+              "      <td>92</td>\n",
+              "      <td>2.91</td>\n",
+              "      <td>76</td>\n",
+              "      <td>34.15</td>\n",
+              "      <td>144.6</td>\n",
+              "      <td>63.9</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>101.2</td>\n",
+              "      <td>2710</td>\n",
+              "      <td>164</td>\n",
+              "      <td>3.31</td>\n",
+              "      <td>121</td>\n",
+              "      <td>24.15</td>\n",
+              "      <td>176.8</td>\n",
+              "      <td>64.8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>106</th>\n",
+              "      <td>99.2</td>\n",
+              "      <td>3139</td>\n",
+              "      <td>181</td>\n",
+              "      <td>3.43</td>\n",
+              "      <td>160</td>\n",
+              "      <td>21.70</td>\n",
+              "      <td>178.5</td>\n",
+              "      <td>67.9</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>103.5</td>\n",
+              "      <td>3055</td>\n",
+              "      <td>164</td>\n",
+              "      <td>3.31</td>\n",
+              "      <td>121</td>\n",
+              "      <td>22.25</td>\n",
+              "      <td>189.0</td>\n",
+              "      <td>66.9</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>92</th>\n",
+              "      <td>94.5</td>\n",
+              "      <td>1938</td>\n",
+              "      <td>97</td>\n",
+              "      <td>3.15</td>\n",
+              "      <td>69</td>\n",
+              "      <td>33.70</td>\n",
+              "      <td>165.3</td>\n",
+              "      <td>63.8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>179</th>\n",
+              "      <td>102.9</td>\n",
+              "      <td>3016</td>\n",
+              "      <td>171</td>\n",
+              "      <td>3.27</td>\n",
+              "      <td>161</td>\n",
+              "      <td>21.25</td>\n",
+              "      <td>183.5</td>\n",
+              "      <td>67.7</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>102</th>\n",
+              "      <td>100.4</td>\n",
+              "      <td>3296</td>\n",
+              "      <td>181</td>\n",
+              "      <td>3.43</td>\n",
+              "      <td>152</td>\n",
+              "      <td>19.25</td>\n",
+              "      <td>184.6</td>\n",
+              "      <td>66.5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>143 rows × 30 columns</p>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6964a149-7d82-42d2-8a1c-c015c28156af')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-6964a149-7d82-42d2-8a1c-c015c28156af button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-6964a149-7d82-42d2-8a1c-c015c28156af');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ],
+            "text/plain": [
+              "     wheelbase  curbweight  enginesize  boreratio  ...  twelve  two  Medium  Highend\n",
+              "177      102.4        2458         122       3.31  ...       0    0       0        0\n",
+              "75       102.7        2910         140       3.78  ...       0    0       1        0\n",
+              "174      102.4        2480         110       3.27  ...       0    0       0        0\n",
+              "31        86.6        1819          92       2.91  ...       0    0       0        0\n",
+              "12       101.2        2710         164       3.31  ...       0    0       0        1\n",
+              "..         ...         ...         ...        ...  ...     ...  ...     ...      ...\n",
+              "106       99.2        3139         181       3.43  ...       0    0       1        0\n",
+              "14       103.5        3055         164       3.31  ...       0    0       0        1\n",
+              "92        94.5        1938          97       3.15  ...       0    0       1        0\n",
+              "179      102.9        3016         171       3.27  ...       0    0       0        0\n",
+              "102      100.4        3296         181       3.43  ...       0    0       1        0\n",
+              "\n",
+              "[143 rows x 30 columns]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 59
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "PJvMlAQDNIVr"
+      },
+      "outputs": [],
+      "source": [
+        "from sklearn.preprocessing import MinMaxScaler\n",
+        "\n",
+        "scaler = MinMaxScaler()\n",
+        "num_vars = ['wheelbase', 'curbweight', 'enginesize', 'boreratio', 'horsepower','fueleconomy','carlength','carwidth']\n",
+        "xtrain[num_vars] = scaler.fit_transform(xtrain[num_vars])\n",
+        "xtest[num_vars] = scaler.fit_transform(xtest[num_vars])"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "HdA29scZNIVt"
+      },
+      "source": [
+        "### Step 8 : Model Building"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "eo3EoKt0NIVt"
+      },
+      "outputs": [],
+      "source": [
+        "# RFE\n",
+        "# from sklearn.feature_selection import RFE\n",
+        "from sklearn.linear_model import LinearRegression\n",
+        "# import statsmodels.api as sm \n",
+        "# from statsmodels.stats.outliers_influence import variance_inflation_factor"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "UFewo9tHNIVt",
+        "outputId": "79dacb43-471a-46a7-c84e-bda3e2f891ce"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "LinearRegression()"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 61
+        }
+      ],
+      "source": [
+        "lm = LinearRegression()\n",
+        "lm.fit(xtrain,ytrain)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "y_pred = lm.predict(xtest)"
+      ],
+      "metadata": {
+        "id": "JU84YbEecELE"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "lm.score(xtest, ytest)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "6sBS2DJvckoQ",
+        "outputId": "39a0da1c-f3bf-49cf-8c52-029586af8900"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "0.8600674024664949"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 65
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.linear_model import Ridge, Lasso, ElasticNet"
+      ],
+      "metadata": {
+        "id": "-2Vh2ZFvimgO"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "ridge = Ridge(alpha=4.5)\n",
+        "ridge.fit(xtrain, ytrain)\n",
+        "ridge.score(xtest, ytest)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "fVmEuKnSin7d",
+        "outputId": "7db93835-23a0-462b-840a-9da349646863"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "0.8417648823521588"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 82
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "lasso = Lasso()\n",
+        "lasso.fit(xtrain, ytrain)\n",
+        "lasso.score(xtest,ytest)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "yMO3Ego1lIwm",
+        "outputId": "633e8857-6f80-4962-9030-66bca11c9d2f"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "0.8548806300660183"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 84
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "elas = ElasticNet()\n",
+        "elas.fit(xtrain, ytrain)\n",
+        "elas.score(xtest, ytest)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "eXHAAqE0leL-",
+        "outputId": "ad9856cc-1370-4de7-cdc7-d7020081f876"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "0.8012594548717992"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 85
+        }
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
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\ No newline at end of file