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Book recommendation system is to predict buyer’s interest and recommend books to them accordingly. A book recommendation system can take into account many parameters
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like ratings count and language code by filtering user reviews. various attributes were analyzed before choosing the parameters using seaborn and various python libraries.
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install Python, jupyter notebook to run the project
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The project is using k - Nearest neighbor algorithm and min max scaler to transform the data.
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Used numpy and pandas library for statistics and preprocessing of data
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