Fundamentals of Machine Learning - Random Forests

The video tutorial introduces random forests, starting with a review of decision trees. It covers loading necessary libraries, explains decision tree basics, and discusses overfitting issues. The tutorial then introduces random forests and bagging, demonstrating how to code them. It concludes with using random forests for regression tasks.

What new insight or understanding did you gain from this video?

Evaluate responses using AI:

OFF