Recommender Systems with Machine Learning - Item-Based Filtering Data Preparation

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, including handling CSV files, setting encodings, and defining columns. The tutorial proceeds to load user and ratings datasets, applying similar data preparation techniques. It further explores analyzing ratings data using matplotlib to visualize distributions. Finally, the video explores the books and users data, examining their structure and columns.

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