This project implements a book recommendation system using Python and popular data science libraries such as numpy, pandas, matplotlib, seaborn, and scikit-learn. Leveraging data analysis, clustering algorithms, and ML techniques such as min-max scaling and k-nearest neighbors, the system provides personalized book recommendations to users.
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This project implements a book recommendation system using Python and popular data science libraries such as numpy, pandas, matplotlib, seaborn, and scikit-learn. Leveraging data analysis, clustering algorithms, and ML techniques such as min-max scaling and k-nearest neighbors, the system provides personalized book recommendations to users.
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MoazCraftsCode/Books-Recommendation-System-in-Python-using-Machine-Learning
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This project implements a book recommendation system using Python and popular data science libraries such as numpy, pandas, matplotlib, seaborn, and scikit-learn. Leveraging data analysis, clustering algorithms, and ML techniques such as min-max scaling and k-nearest neighbors, the system provides personalized book recommendations to users.
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