Learning Path

Decision Tree Fundamentals → Hands-On Ensemble Project

This advanced graduate-level path systematically develops mastery of ensemble learning techniques for improving prediction accuracy and robustness. It covers the theoretical foundations, core algorithms (bagging, boosting, stacking, random forests, gradient boosting), practical implementation in Python, and strategic considerations for real-world application.