Data Analytics Computing: Linear Regression With Python

In this video, I go through the basics of computing for linear regression in Python and some programming and statistical inference concepts. If you need additional resources, check out the ones I am leaving below: The dataset I used for this video: https://www.kaggle.com/datasets/malayvyas/google-stock-data?resource=download A comprehensive coverage of Linear Regression can be found in An Introduction to Statistical Learning, Chapter 3: https://www.statlearning.com/ A brief introduction to Linear Regression theory: https://onlinestatbook.com/2/regression/intro.html Basics of reading data into Python: https://www.w3schools.com/python/pandas/pandas_csv.asp How to install Anaconda and Spyder on your computer: https://docs.anaconda.com/anaconda/install/index.html The code that I used in this video can be found in the following GitHub repository: https://github.com/Aurelius2500/Linear-Regression-Script/blob/main/Linear%20Regression%20Computing.py Chapters: 0:00 Introduction and data 6:30 Linear Regression 10:00 Visualizing Linear Regression