Introduction to Machine Learning
- Supervised vs. unsupervised learning
- Classification and regression problems
- Decision trees and ensemble methods
- MicroSim: Algorithm comparison explorer
- Feature importance and selection
- Model interpretability techniques
- Introduction to scikit-learn