Decision trees and ensemble methods: Machine Learning course | Zoonk
21. Decision trees and ensemble methods
Build decision trees, control their complexity, and interpret their splits. Use random forests, gradient boosting, and stacking to improve predictive performance while managing variance and calibration.
