Zee Recommender Systems is a personalized movie recommendation project built using the MovieLens dataset. It implements collaborative filtering, similarity-based models, and matrix factorization to enhance user experience by suggesting movies tailored to individual preferences. Includes EDA, evaluation (RMSE & MAPE) and visualization of embeddings.
python eda machinelearning knn movielens collaborativefiltering matrixfactorization recommendersystem
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Updated
Dec 26, 2025 - Jupyter Notebook