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implicit
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This Jupyter Notebook outlines my process as I create a movie recommendation system using matrix factorization. I use the public 100k MovieLens dataset.
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Oct 2, 2018 - Jupyter Notebook
Repository of OpenClassrooms' AI Engineer path, project #9 : create a books recommandation system, integrate and deploy it as a mobile app
python data-science machine-learning react-native deep-learning neural-network notebook azure mobile-app kaggle recommendation-system jupyterlab implicit openclassrooms surprise newsportal globocom
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May 12, 2022 - Jupyter Notebook
Sistema de Recomendacion de la plataforma Steam desarrollado
python steam time-series notebook exploratory-data-analysis plotly reviews tf-idf recommender-system implicit videogames npl lightfm content-based-recommendation colaborative-filtering
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Apr 5, 2021 - Jupyter Notebook
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