This project explores diverse "Recommendation Techniques", each offering a distinct approach to predicting user preferences.
python data-science machine-learning matrix-factorization recommendation-system content-based-recommendation music-recommendation-system user-user-filtering popularity-based-recommendation ensamble-model item-item-filtering clustering-based-recommendation
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Updated
Oct 31, 2024 - Jupyter Notebook