Machine Learning Fundamentals

1. 1. What Machine Learning Actually Is
2. 2. The Train/Test/Validation Split & Why It Exists
3. 3. Linear Regression
4. 4. Evaluation Metrics for Regression
5. 5. Logistic Regression & Classification Basics
6. 6. Evaluation Metrics for Classification
7. 7. Decision Trees & Random Forests