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https://github.com/sreekar0101/-movie-recommendation-system-using-python

The Movie Recommendation System is designed to suggest personalized movie recommendations by analyzing extensive datasets containing movie details and credits.ultilizes python libraries numpy pandas and scikit learn.The system achieved a 15% improvement in accuracy compared to the baseline model by identifying key factors that influence user choice
https://github.com/sreekar0101/-movie-recommendation-system-using-python

data-analysis data-visualization numpy-library pandas-dataframe scikit-learn seaborn-python

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The Movie Recommendation System is designed to suggest personalized movie recommendations by analyzing extensive datasets containing movie details and credits.ultilizes python libraries numpy pandas and scikit learn.The system achieved a 15% improvement in accuracy compared to the baseline model by identifying key factors that influence user choice

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Movie Recommendation System using Python

Developed a movie recommendation system by performing extensive data analysis on large movie and credit datasets. This system achieved a 15% improvement in recommendation accuracy compared to the baseline model by leveraging advanced data cleaning, processing, and predictive modeling techniques.