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What is HW3 2 about?

This project analyzes the Netflix Dataset to identify patterns and predict missing movie ratings using methods like Singular Value Decomposition (SVD) and Iterative Lasso Regression with Replacement (ILRR). The study finds that predictability varies based on movie fame and user activity, achieving a minimum RMSE of 0.735 on a subset of the data. The results indicate that targeted data cleaning and model selection can significantly enhance prediction accuracy compared to baseline methods.

Author

Mai Trần

Language

EN