Machine Learning for Electrical Engineering Applications

1. Introduction to data analytics

2. Regression

3. Classification

4. Feature engineering, selection

5. Neural Networks

6. Develop an ML workflow

7. Geometric Deep Learning

8. Tree-based methods

9. Reinforcement learning

10. Hardware in ML