10.5 Checkpoint: Choosing Variables

In summary, you've learned three approaches for reducing the number ov variables in your model to prevent overfitting. Based on their strengths and weaknesses, they could be ranked as: (Good) Filter Based Feature Selection, (Better) Permutation Feature Importance, and (Best) Principle Components Analysis. Now, demonstrate what you've learned by completing the checkpoint below: