# Project and Review

*Final project — Sessions 27–28*

## Project shape

- Data preparation and problem framing
- Select and implement several models (e.g. local, linear, kernel, probabilistic)
- Evaluate with standard metrics and compare
- Write a short scientific report

## Review

Course recap, connections between topics, and preparation for exams.