Sign In

Lesson 3 - Decision Trees and Hyperparameters

Machine Learning with Python: Zero to GBMs

In this lesson, we learn how to use decision trees and random forests to solve a real-world problem from a Kaggle dataset. The following topics are covered:

  • Downloading a real-world dataset
  • Preparing a dataset for training
  • Training and interpreting decision trees

Please provide your valuable feedback on this link to help us improve the course experience.

Ask questions and get help on the discussion forum.

Attend weekly study hours on the Jovian Discord Server