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Project: Book Recommender System Using Machine Learning! | Collaborative Filtering Based Recommendation systems are becoming increasingly important in today’s extremely busy world. People are always ...
In this challenge, you will create a book recommendation algorithm using K-Nearest Neighbors. You will use the Book-Crossings dataset. This dataset contains 1.1 million ratings (scale of 1-10) of ...
As the measures of online books are dramatically expanding because of Coronavirus pandemic, finding important books from an immense digital book space turns into a huge test for online clients.
Cosine similarity is a measure of similarity between two data points in a plane. Cosine similarity is used as a metric in different machine learning algorithms like the KNN for determining the ...
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