r4sl

This text is currently written as a supplement to ISL for use in STAT 432, Basics of Statistical Learning at The University of Illinois at Urbana-Champaign. Some additional details and additional topics are included, but the main focus in on providing more thorough R examples.

Development Status

• March 2019 - Significant updates are expected during the Summer of 2019. In no particular order
  • Move unsupervised learning before supervised learning
  • Add mixture models and general comments on density estimation
  • Add a "crash course" on ML at the very start of book.
    • K-means for clustering
    • RF for classification
    • RF for regression
  • Add a brief introduction to the idea of ML through the usual Pokemon example.