What about this course?
This course will discuss random forests and ensemble models that combine several "weak learners" to create a better learner. The course will explain several of the most popular ensemble models and provide code along lessons for implementing these models in Scikit-Learn.
Instructor for this course
This course is composed by the following modules
Introduction to Ensembles
Ensemble Classification Exercise
Build an ensemble voting classifier
Introduction to Random Forests
Random Forest Exercise
Introduction to AdaBoost
Introduction to Gradient Boosting Regression
Introduction to Gradient Boosting Classification
Gradient Boosting Exercise
Bagging and Boosting iris plants
Model Explanation and Permutation Importance
Permutation Importance Exercise
XGBoost Wine Model Explanation
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