**MISSION 187**

# Model Selection and Tuning

Learn how to select the optimum model and tune hyperparameters in Kaggle competitions.

#### Objectives

#### Mission Outline

1. Introducing Model Selection

2. Training a Baseline Model

3. Training a Model using K-Nearest Neighbors

4. Exploring Different K Values

5. Automating Hyperparameter Optimization with Grid Search

6. Submitting K-Nearest Neighbors Predictions to Kaggle

7. Introducing Random Forests

8. Tuning our Random Forests Model with GridSearch

9. Submitting Random Forest Predictions to Kaggle

10. Next Steps

11. Takeaways