Summary

This week, we will finish our discussion of random forests and boosted models.

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