This will be the final week that we cover new material, and we will be talking about random forests and other ensemble methods.
James, G. et al. (2021). “An Introduction to Statistical Learning with Applications in R” (ISLR). Chapter 8: 8.2 (pg. 340-348).
The Semicolon. (2017). “Ensemble Learning, Bootstrap Aggregating (Bagging) and Boosting”.
Here is the R code we will review in class, with many additional questions! Remember to review it in detail after class Download
Check out the in-class activity we did for this week Download
(The answers for this are here: Download)