1 Ensemble Learning: Bagging vs Boosting
2 Random Forest
3 Gradient Boosting: XGBoost, LightGBM
4 Feature Importance
5 Hiperparametre Optimizasyonu: GridSearchCV, RandomizedSearchCV
6 Overfitting ve Regularization
7 Model karşılaştırma ve seçim stratejileri
Kütüphaneler:
scikit-learnxgboostlightgbm