Recommender Systems with Machine Learning - Age Distribution for Users

Recommender Systems with Machine Learning - Age Distribution for Users

Assessment

Interactive Video

Information Technology (IT), Architecture, Physical Ed, Social Studies

University

Hard

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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.

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3 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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