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Movie Recommendation System using Unsupervised Learning A Python-based recommendation engine built with K-Means Clustering that groups movies by genres, ratings, and popularity to suggest similar titles. Developed in a Jupyter Notebook, it demonstrates content-based filtering using real-world movie metadata.