xgboost

How decision trees choose splits, why they overfit, and how voting, bagging, and boosting address their weaknesses

The third weekly paper on decision trees, major boosting models, and the difference between PCA and factor analysis

A Codeit mission on reading feature context, outliers, and model behavior in Kaggle's Bike Sharing Demand data