Movie Recommendation System

Overview

This project leverages machine learning to develop a personalized movie recommendation system. By combining collaborative filtering and content-based filtering techniques, it analyzes user preferences and movie attributes to suggest tailored movie recommendations.

Features

Personalized movie recommendations

User rating predictions

Genre-based suggestions

Real-time recommendation updates

Advanced data preprocessing

Model training and evaluation

Models The system employs:

Collaborative Filtering

Content-Based Filtering

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.