Summary

This week, we will finish our discussion of random forests and boosted models. Additionally, Exam 02 is this week!

Learning Objectives

After completing this week, you are expected to be able to:

  • Understand how averaging the predictions from many trees (for example using a random forest) can improve model performance.
  • Use a random forest to perform regression and classification.
  • Use boosting to perform regression and classification.

Topics

  • Ensemble Methods
    • Random Forests
    • Boosted Models

Activities

Upcoming Deadlines