Recommender Systems with Machine Learning - Age Distribution for Users

The video tutorial covers creating a histogram for user age distribution, analyzing the distribution, and exploring a ratings data frame. It demonstrates filtering the data based on user ID and book rating counts. Finally, it introduces using KNN for collaborative filtering, providing a comprehensive guide to data visualization and analysis techniques.

What can you infer about the age distribution of users around the age of 25?

Explain how to count user IDs with ratings greater than 200.

What steps are taken to filter book ratings greater than 100?