Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Item-Based Filterin

The video tutorial covers collaborative filtering, starting with importing necessary libraries like pandas, numpy, and matplotlib. It then demonstrates loading and preparing a book dataset, handling errors, and setting encodings. The tutorial proceeds to load user and ratings datasets, followed by analyzing and visualizing the ratings distribution using matplotlib. The video concludes with a brief look at the book and user data frames, setting the stage for further analysis in the next video.

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