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Movie_recommedation_without_deployhment

In the age of digital streaming, recommendation systems play a crucial role in enhancing user experience by suggesting relevant and engaging content. This project aims to develop a sophisticated movie recommendation system that leverages user preferences, historical data, and advanced machine learning algorithms to provide personalized movie recommendations.

Programming Languages: Python

Libraries: pandas, NumPy, scikit-learn, TensorFlow, Pickel, os, ast

The dataset link is : https://grouplens.org/datasets/movielens/