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.