GitHub - ManamiMayoki/MovieRecommenderSystem: A full-stack Movie Recommendation System that processes raw data through preprocessing and machine learning models to generate personalized movie suggestions. The system is integrated into a responsive web application and deployed for real-time user interaction, ensuring scalability and efficient recommendation performance.

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
movie-recommender-system.ipynb		movie-recommender-system.ipynb
tmdb_5000_credits.csv		tmdb_5000_credits.csv
tmdb_5000_movies.csv		tmdb_5000_movies.csv

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A full-stack Movie Recommendation System that processes raw data through preprocessing and machine learning models to generate personalized movie suggestions. The system is integrated into a responsive web application and deployed for real-time user interaction, ensuring scalability and efficient recommendation performance.