12_decision_trees_and_random_forests

Decision trees and random forests

By Gianluca Campanella ([email protected])

Objectives

By the end of the session, you should be able to:

• Describe the main differences and similarities between decision trees and random forests
• Define bagging and boosting
• Use scikit-learn to fit decision trees and random forests

Plan

The session is designed to be delivered over three hours (including breaks).

Topic	Time
Decision trees and random forests	45 minutes
Decision trees and random forests using scikit-learn	45 minutes
Exercises	60 minutes

Materials

• Decision trees and random forests
• Decision trees and random forests using scikit-learn
• Exercises and solutions