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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