Part IV

Trees and Ensemble Learning

6 chapters, from the first idea to the working mechanism.

1. III-20Decision Trees and Candidate SplitsExplore →
2. III-21Entropy, Gini Impurity and Information GainExplore →
3. III-22Regression Trees, Tree Depth and PruningExplore →
4. III-23Bagging and Bootstrap SamplingExplore →
5. III-24Random ForestsExplore →
6. III-25Boosting and Gradient BoostingExplore →