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TMDB_5000_Movie_recommendation_system is a repository for a hybrid movie recommendation system. Discover personalized movie recommendations based on user preferences and movie features using the TMDB 5000 Movies dataset.

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The TMDB 5000 Datasets are a popular collection of movie data that includes information about thousands of movies. The dataset is commonly used in data science and machine learning projects for movie recommendation systems, movie analytics, and movie-related research.

The dataset contains a wide range of information, such as movie titles, release dates, genres, ratings, budgets, and revenue. It also includes other details such as cast and crew information, production companies, and keywords associated with each movie.

By leveraging the TMDB 5000 Datasets, researchers and data scientists can gain insights into various aspects of movies, such as popularity, genre trends, box office performance, and audience ratings. The dataset provides a rich source of data for exploring movie-related patterns, relationships, and trends, and can be used to develop various movie-related applications and analyses.

You can download the TMDB 5000 Datasets from the official source on Kaggle at the following link: https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata?resource=download.

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TMDB_5000_Movie_recommendation_system is a repository for a hybrid movie recommendation system. Discover personalized movie recommendations based on user preferences and movie features using the TMDB 5000 Movies dataset.

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