Lesson 4 - Random Forests and Regularization

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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