Introduction to Statistical Learning Notes in Python

Introduction to Statistical Learning with Applications in R (2nd Edition) by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani is a phenomenal source for learning about statistical analyses of complex data and applying machine learning algorithms to unveil trends, classify, and make predictions using such datasets. A free PDF version of the book, as well as the datasets, can be found here.

I have begun reading through the textbook and taking notes on a Jupyter Notebook. You can find my notes, where I recap the information in text, remake many of the figures in the textbook and solve various exercises at the ends of each chapter in Python 3 (instead of R, which is the programming language used in the book), on my Github page, by clicking this link!