Recommender Systems with Machine Learning - KNN Implementation-1

The video tutorial covers the process of creating a CSR matrix from user ratings data, removing duplicates, and pivoting the data. It then explains how to build a KNN model using the cosine similarity metric and brute force algorithm. Finally, it demonstrates how to query the model with a random sample to find similar items and discusses the results.

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