Introduction

This repository consists of python notebooks that I worked on while working through an essentials of Data Science course on LinkedIn Learning.

Datasets

Awards1920.csv: This is a dataset of all NSF grant awards in the field of AI and machine learning between 2019-2020 that I collected through keyword search for a research project.
churn.csv: This is a dataset used to predict bank customer churn given the customer's demographic information, balance and credit score.
HousePricePrediction.xlsx: This is a commonly used dataset consisting of houses with different features such as lot area, basement size, number of bedrooms, sale price etc.
mtcars.csv: This is a commonly used dataset about different types of cars and their features such as weight, miles/gallon, number of cylinders, transmission etc.
RELIANCE.csv: This dataset consists of the stock price of Reliance Industries between 2000-2021

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Awards1920.csv		Awards1920.csv
Data Science Essentials-Basics of Missing Values and Visualization.ipynb		Data Science Essentials-Basics of Missing Values and Visualization.ipynb
Data Science Essentials-Correlation Analysis and Data Transformations.ipynb		Data Science Essentials-Correlation Analysis and Data Transformations.ipynb
Data Science Essentials-LinearRegression.ipynb		Data Science Essentials-LinearRegression.ipynb
Data Science Essentials-LogisticRegression.ipynb		Data Science Essentials-LogisticRegression.ipynb
Data Science Essentials-NLPBasics.ipynb		Data Science Essentials-NLPBasics.ipynb
Data Science Essentials-UsingPlotly.ipynb		Data Science Essentials-UsingPlotly.ipynb
Data Science Essentials-Webscraping using BeautifulSoup.ipynb		Data Science Essentials-Webscraping using BeautifulSoup.ipynb
HousePricePrediction.xlsx		HousePricePrediction.xlsx
README.md		README.md
RELIANCE.csv		RELIANCE.csv
churn.csv		churn.csv
mtcars.csv		mtcars.csv