stock_prediction.ipynb

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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sb\n",
        " \n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.svm import SVC\n",
        "from xgboost import XGBClassifier\n",
        "from sklearn import metrics\n",
        " \n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('/content/TSLA.csv')\n",
        "df.head()"
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              "         Date       Open   High        Low      Close  Adj Close    Volume\n",
              "0  2010-06-29  19.000000  25.00  17.540001  23.889999  23.889999  18766300\n",
              "1  2010-06-30  25.790001  30.42  23.299999  23.830000  23.830000  17187100\n",
              "2  2010-07-01  25.000000  25.92  20.270000  21.959999  21.959999   8218800\n",
              "3  2010-07-02  23.000000  23.10  18.709999  19.200001  19.200001   5139800\n",
              "4  2010-07-06  20.000000  20.00  15.830000  16.110001  16.110001   6866900"
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              "      <td>2010-06-29</td>\n",
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              "      <th>1</th>\n",
              "      <td>2010-06-30</td>\n",
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              "      <td>2010-07-01</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>25.92</td>\n",
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              "      <td>23.10</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2010-07-06</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>20.00</td>\n",
              "      <td>15.830000</td>\n",
              "      <td>16.110001</td>\n",
              "      <td>16.110001</td>\n",
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              "(2416, 7)"
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            "text/plain": [
              "              Open         High          Low        Close    Adj Close  \\\n",
              "count  2416.000000  2416.000000  2416.000000  2416.000000  2416.000000   \n",
              "mean    186.271147   189.578224   182.916639   186.403651   186.403651   \n",
              "std     118.740163   120.892329   116.857591   119.136020   119.136020   \n",
              "min      16.139999    16.629999    14.980000    15.800000    15.800000   \n",
              "25%      34.342498    34.897501    33.587501    34.400002    34.400002   \n",
              "50%     213.035004   216.745002   208.870002   212.960007   212.960007   \n",
              "75%     266.450012   270.927513   262.102501   266.774994   266.774994   \n",
              "max     673.690002   786.140015   673.520020   780.000000   780.000000   \n",
              "\n",
              "             Volume  \n",
              "count  2.416000e+03  \n",
              "mean   5.572722e+06  \n",
              "std    4.987809e+06  \n",
              "min    1.185000e+05  \n",
              "25%    1.899275e+06  \n",
              "50%    4.578400e+06  \n",
              "75%    7.361150e+06  \n",
              "max    4.706500e+07  "
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              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
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              "      <th>count</th>\n",
              "      <td>2416.000000</td>\n",
              "      <td>2416.000000</td>\n",
              "      <td>2416.000000</td>\n",
              "      <td>2416.000000</td>\n",
              "      <td>2416.000000</td>\n",
              "      <td>2.416000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>186.271147</td>\n",
              "      <td>189.578224</td>\n",
              "      <td>182.916639</td>\n",
              "      <td>186.403651</td>\n",
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              "      <th>std</th>\n",
              "      <td>118.740163</td>\n",
              "      <td>120.892329</td>\n",
              "      <td>116.857591</td>\n",
              "      <td>119.136020</td>\n",
              "      <td>119.136020</td>\n",
              "      <td>4.987809e+06</td>\n",
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              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>16.139999</td>\n",
              "      <td>16.629999</td>\n",
              "      <td>14.980000</td>\n",
              "      <td>15.800000</td>\n",
              "      <td>15.800000</td>\n",
              "      <td>1.185000e+05</td>\n",
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              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>34.342498</td>\n",
              "      <td>34.897501</td>\n",
              "      <td>33.587501</td>\n",
              "      <td>34.400002</td>\n",
              "      <td>34.400002</td>\n",
              "      <td>1.899275e+06</td>\n",
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              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>213.035004</td>\n",
              "      <td>216.745002</td>\n",
              "      <td>208.870002</td>\n",
              "      <td>212.960007</td>\n",
              "      <td>212.960007</td>\n",
              "      <td>4.578400e+06</td>\n",
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              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>266.450012</td>\n",
              "      <td>270.927513</td>\n",
              "      <td>262.102501</td>\n",
              "      <td>266.774994</td>\n",
              "      <td>266.774994</td>\n",
              "      <td>7.361150e+06</td>\n",
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              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>673.690002</td>\n",
              "      <td>786.140015</td>\n",
              "      <td>673.520020</td>\n",
              "      <td>780.000000</td>\n",
              "      <td>780.000000</td>\n",
              "      <td>4.706500e+07</td>\n",
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2416 entries, 0 to 2415\n",
            "Data columns (total 7 columns):\n",
            " #   Column     Non-Null Count  Dtype  \n",
            "---  ------     --------------  -----  \n",
            " 0   Date       2416 non-null   object \n",
            " 1   Open       2416 non-null   float64\n",
            " 2   High       2416 non-null   float64\n",
            " 3   Low        2416 non-null   float64\n",
            " 4   Close      2416 non-null   float64\n",
            " 5   Adj Close  2416 non-null   float64\n",
            " 6   Volume     2416 non-null   int64  \n",
            "dtypes: float64(5), int64(1), object(1)\n",
            "memory usage: 132.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(15,5))\n",
        "plt.plot(df['Close'])\n",
        "plt.title('Tesla Close price.', fontsize=15)\n",
        "plt.ylabel('Price in dollars.')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "id": "_EzDisAhNKur",
        "outputId": "63488277-7643-439c-a6d1-cbddd938a56b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "pmnrZ1NyNNSf",
        "outputId": "161812a5-31b0-4644-ac4b-80a42e01ddb2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Date       Open   High        Low      Close  Adj Close    Volume\n",
              "0  2010-06-29  19.000000  25.00  17.540001  23.889999  23.889999  18766300\n",
              "1  2010-06-30  25.790001  30.42  23.299999  23.830000  23.830000  17187100\n",
              "2  2010-07-01  25.000000  25.92  20.270000  21.959999  21.959999   8218800\n",
              "3  2010-07-02  23.000000  23.10  18.709999  19.200001  19.200001   5139800\n",
              "4  2010-07-06  20.000000  20.00  15.830000  16.110001  16.110001   6866900"
            ],
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2010-06-29</td>\n",
              "      <td>19.000000</td>\n",
              "      <td>25.00</td>\n",
              "      <td>17.540001</td>\n",
              "      <td>23.889999</td>\n",
              "      <td>23.889999</td>\n",
              "      <td>18766300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2010-06-30</td>\n",
              "      <td>25.790001</td>\n",
              "      <td>30.42</td>\n",
              "      <td>23.299999</td>\n",
              "      <td>23.830000</td>\n",
              "      <td>23.830000</td>\n",
              "      <td>17187100</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2010-07-01</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>25.92</td>\n",
              "      <td>20.270000</td>\n",
              "      <td>21.959999</td>\n",
              "      <td>21.959999</td>\n",
              "      <td>8218800</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2010-07-02</td>\n",
              "      <td>23.000000</td>\n",
              "      <td>23.10</td>\n",
              "      <td>18.709999</td>\n",
              "      <td>19.200001</td>\n",
              "      <td>19.200001</td>\n",
              "      <td>5139800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2010-07-06</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>20.00</td>\n",
              "      <td>15.830000</td>\n",
              "      <td>16.110001</td>\n",
              "      <td>16.110001</td>\n",
              "      <td>6866900</td>\n",
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              "    .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-169bd9cb-9d29-4c5f-aac5-c8647e09c0a9 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-169bd9cb-9d29-4c5f-aac5-c8647e09c0a9');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[df['Close'] == df['Adj Close']].shape\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i6USz_3BNPeX",
        "outputId": "4aaa7a05-3da4-45a4-9581-989faf801b61"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2416, 7)"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.drop(['Adj Close'], axis=1)\n"
      ],
      "metadata": {
        "id": "ZaJanJ18NRCi"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dWyez5PZNSea",
        "outputId": "63502882-0648-479d-eee7-3254674a7023"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date      0\n",
              "Open      0\n",
              "High      0\n",
              "Low       0\n",
              "Close     0\n",
              "Volume    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "features = ['Open', 'High', 'Low', 'Close', 'Volume']\n",
        "\n",
        "plt.subplots(figsize=(20,10))\n",
        "\n",
        "for i, col in enumerate(features):\n",
        "  plt.subplot(2,3,i+1)\n",
        "  sb.distplot(df[col])\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "PMWeJKSGNTxI",
        "outputId": "343a1a72-0555-4f43-89ea-1649509ff50f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 5 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.subplots(figsize=(20,10))\n",
        "for i, col in enumerate(features):\n",
        "  plt.subplot(2,3,i+1)\n",
        "  sb.boxplot(df[col])\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 592
        },
        "id": "XIP_rxxENbcM",
        "outputId": "d055557f-0d21-462a-fabf-43cd38f191a9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 5 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 10))\n",
        "sb.heatmap(df.corr() > 0.9, annot=True, cbar=False)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 592
        },
        "id": "1puQI2ACNktw",
        "outputId": "e27c8da4-dc87-406b-b0f7-8514f9fe93c8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}