Lesson 4 - Random Forests and Regularization

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 Kaggle. The following topics are covered:

  • Training and interpreting random forests
  • Overfitting, hyperparameter tuning & regularization
  • Making predictions on single inputs

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