Machine Learning

This section will provide extra instructional information useful to your success.

The primary takeaways are:

1. Graph the results of your Machine Learning Model

2. Strive to understand HOW your model is making its predictions

3. Work to get a ‘Goldilocks’ fit model (not underfitted, not overfitted)

4. Explore the Fairness of your moel

• Feature Importance
• Assessing Accuracy
• Classification
• Regression - Distance Study
• Classification - Fully Random
• When to Avoid Using Machine Learning