tutorials/module_5/data_for_engineering.md


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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