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/