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.