Week 13 - 11/13

Date: Nov 13th - Nov 15th

What we will cover

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”.

  • Statquest. (2018). “Random Forests Part 1: Building, Using and Evaluating”.
  • Ritvik Kharkar. (2019). “Random Forests”. Video materials from ritvikmath.


New window Download


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)

© Magdalena Bennett - licensed under Creative Commons.