In this challenge I had to create a book recommendation algorithm using K-Nearest Neighbours. I used the Book-Crossings dataset, which contains 1.1 million ratings (scale of 1-10) of 270,000 books by 90,000 users.
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In this challenge I had to create a book recommendation algorithm using K-Nearest Neighbours. I used the Book-Crossings dataset, which contains 1.1 million ratings (scale of 1-10) of 270,000 books by 90,000 users.
gtmcris/BookRecommendationEngine-Using-KNN
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In this challenge I had to create a book recommendation algorithm using K-Nearest Neighbours. I used the Book-Crossings dataset, which contains 1.1 million ratings (scale of 1-10) of 270,000 books by 90,000 users.
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