Movie Recommender

• Tech Stack: Numpy, Pandas, Sci-kit-learn, Scipy
• Github URL: Project Link

Movie recommendation system. I built this system using K-means clustering algorithm. This recommender system was trained on roughly 42000 data points. It is Content based recommendation system which means while recommending a movie to the user it sees the contents(e.g actors, production comapany, release date etc.) of the movie. It gives better perofrmance that collaborative filtering approach.

When a user enters a title of the movie it gives top 20 movies that matches the movie user provided.