developed a movie recommendation system using Python and machine learning techniques to provide personalized movie suggestions based on user preferences and viewing history. The system integrated content-based and collaborative filtering algorithms, leveraging libraries like Pandas, NumPy, and Scikit-learn for efficient recommendations.
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