I used Python with numpy, pandas, and scikit-learn to take a database of 45,000 records of various movies from kaggle, cleaned, formatted, and fitted the data to a KNN model, and then adjusted my features through testing to get the best 5 movie recommendations based on one given movie that the user likes.
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I used Python with numpy, pandas, and scikit-learn to take a database of 45,000 records of various movies from kaggle, cleaned, formatted, and fitted the data to a KNN model, and then adjusted my features through testing to get the best 5 movie recommendations based on one given movie that the user likes.
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VenPrograms/Movie_Recommender_Model
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I used Python with numpy, pandas, and scikit-learn to take a database of 45,000 records of various movies from kaggle, cleaned, formatted, and fitted the data to a KNN model, and then adjusted my features through testing to get the best 5 movie recommendations based on one given movie that the user likes.
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