Learn about ensemble learning techniques, such as bagging, boosting, and stacking, which combine multiple models to achieve superior predictive performance.
Overview
Syllabus
- Lesson 1: Bagging in Machine Learning
- Lesson 2: Random Forest in Machine Learning
- Lesson 3: Boosting with AdaBoost in Machine Learning
- Lesson 4: Gradient Boosting in Machine Learning
- Lesson 5: Stacking in Machine Learning