Ensemble Methods in Machine Learning

Learn about ensembling methods in machine learning!
Models are great on their own but you can make them better by combining them together! Ensemble methods are techniques in machine learning that help you do this.



### Take-Away Skills:
Learn how to bag models to build random forests, boost models using adaptive and gradient boosting, and stack models for improved performance!

• Introduction to Ensemble Methods in Machine Learning: Learn about ensembling methods in machine learning like bagging, boosting and stacking!
• Informational: Welcome to Ensemble Methods in Machine Learning
• Article: Introduction to Ensembling Methods
• Random Forests: Learn about bagging, random forests and how to implement them using `scikit-learn`!
• Lesson: Random Forests
• Quiz: Random Forests Quiz
• Project: Random Forests Project
• Boosting & Stacking Machine Learning Models: Learning about boosting machine learning models!
• Lesson: Boosting Machine Learning Models
• Article: Stacking
• Informational: Next Steps