This repository is meant to keep track of my personal lab work done in the textbook: An Introduction to Statistical Learning with Applications in R, written by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani.
The repository is organized into basically two folders - Git Docs and Code. If you plan on following on to these walkthroughs in your browser, I would recommend using the Lab write-ups located in the Git Docs folder. They are specifically formatted to make it easy for you to quickly read and browse each method that is covered. If you plan on spending more time using this code in your R Studio instance, go ahead and download copies of the Labs located in the Code folder. The majority of them are R files, meaning you can simply load them as scripts. As of Dec 2017, I have begun transitioning to writing this scripts in Rmd files so they can be adapted to the Git browser.
All data is pulled from the following source, if not available in packages in R: http://www-bcf.usc.edu/~gareth/ISL/data.html
James, Gareth, et al. An introduction to statistical learning: with applications in R. Springer, 2017.