Collaborative Filtering with SVD for Movie Recommendations

This project builds a movie recommendation system using Singular Value Decomposition (SVD) for collaborative filtering. SVD is used to decompose the user-item rating matrix, and the system predicts missing ratings for unrated movies. The project demonstrates how SVD can be applied to generate accurate recommendations for users.