Movie Recommendation System using Matrix Factorization and Collaborative Filtering

This project uses matrix factorization methods such as Singular Value Decomposition (SVD) in conjunction with collaborative filtering to predict movie ratings and generate recommendations. The system is trained on large-scale movie ratings data and predicts missing ratings based on the interaction between users and movies.