This repository contains Python code for a selection of tables, figures and LAB sections from the book'An Introduction to Statistical Learning with Applications in R' by James, Witten, Hastie, Tibshirani (2013). This great book gives a thorough introduction to the field of Statistical/Machine Learning. The book is available for download (see link below), but I think this is one of those books that is definitely worth buying. The book contains sections with applications in R based on public datasets available for download or which are part of the R-package ISLR. Furthermore, there is a Stanford University online course based on this book and taught by the authors (See course catalogue for current schedule).