The Fall 2016 section of SDS293: Machine Learning at Smith College (taught by @jordancrouser) used a lightly-modified version of the base R labs from An Introduction to Statistical Learning. These labs utilize much of the same code as the original versions, but were broken into smaller thematic chunks in order to support more frequent mini-labs rather than a single weekly laboratory section. For clarity, they are included in this repository as Jupyter Notebooks.
The purpose of this ongoing project is to re-implement these exercises utilizing tidyverse packages. We believe that this will make them accessible to a broader audience, and better facilitate the teaching of statistical learning methods in data science prorgrams.