Machine Learning
Machine Learning
intermediate
Gradient Boosting in Depth: XGBoost and LightGBM
Still the strongest default for tabular problems, and still widely misused. How the boosting objective actually works, which hyperparameters matter and which are noise, categorical handling, and reading SHAP values without over-reading them.
HT
Hiroshi Tanaka
4.8
$75.00
11 hours