Lecture 5: Data for Engineering: Features, Labels, Normalization, Metrics

- Train/validaiton/test splits
- Normalization & scaling
- Features engineering basics
- Metrics: accuracy, MSE, ROC, F1
- Engineering-specific constraints:
	- sensor noise
	- unit consistency
	- small datasets
	- measurement bias