A movie recommendation system built using machine learning techniques, including TF-IDF (Term Frequency-Inverse Document Frequency) and cosine similarity algorithms from the scikit-learn library. This web application allows users to input a movie name and receive similar movie suggestions based on descriptions, keywords, and genres from a dataset of over 3000 movies.
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julijatol/movieRecommender
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Movie recommendation system using Machine Learning, built on Python and Flask
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