**MISSION 94**

# Introduction to Random Forests

Learn how to construct and apply random forests.

#### Objectives

#### Mission Outline

1. Introduction

2. Combining Model Predictions With Ensembles

3. Combining Our Predictions

4. Combining Our Predictions

5. Why Ensembling Works

6. Introducing Variation With Bagging

7. Selecting Random Features

8. Random Subsets in scikit-learn

9. Practice Putting it All Together

10. Tweaking Parameters to Increase Accuracy

11. Reducing Overfitting

12. When to Use Random Forests

13. Takeaways