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The Machine Learning Final Project requires students to form teams of 1-4 and select a machine learning topic, excluding deep learning methods. Each project must compare at least three models, analyze accuracy, confusion matrices, and feature importance, and culminate in an 8-10 minute presentation in Week 16. Grading focuses on data collection, model construction, and overall completeness, with additional bonus points for creative elements and self-collected data.

Author

Edyson Citra

Language

EN