Lecture 21 – Decision Trees
Presented by Anthony D. Joseph
Content by Josh Hug
A reminder – the right column of the table below contains Quick Checks. These are not required but suggested to help you check your understanding.
Decision tree basics. Decision trees in scikit-learn.
Overfitting and decision trees.
Decision tree generation. Finding the best split. Entropy and weighted entropy.
Restricting decision tree complexity. Preventing growth and pruning. Random forests and bagging.
Regression trees. Summary of decision trees, classification, and regression.