Learn Decision Trees (DT), Building Decision Trees, Optimizing Decision Trees, CART Algorithm, Gini Index, Entropy, Decision Tree Classification Geometry, Converting Continuous Features to Categorical, Bias-Variance Metrics of Decision Tree, Decision Tree Regularization, Ensemble Methods, Bootstrapping, Bagging, Boosting, Random Forrest, and XGBoost.
