This repository contains code for a movie recommendation system using collaborative filtering based on Singular Value Decomposition (SVD).

The goal of this project is to recommend movies to users based on their historical ratings and preferences. The recommendation system is built using the MovieLens dataset and employs collaborative filtering techniques.

• SVD_Matrix_Factrization.ipynb: Jupyter Notebook containing the code for the movie recommendation system.
• u.data: MovieLens dataset file containing user ratings.
• u.item: MovieLens dataset file containing movie details.
• README.md: This file.