Recommender Systems: An Applied Approach using Deep Learning - Make Tensors from DataFrame

Recommender Systems: An Applied Approach using Deep Learning - Make Tensors from DataFrame

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video tutorial explains how to work with a dataset by focusing on a single username. It demonstrates extracting user-specific data, creating dictionaries for unique products and users, and converting dataframes into tensors using TensorFlow. The tutorial also previews the data and sets the stage for further analysis in the next video.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the first step mentioned for checking the data set?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How do we identify a specific user in the data frame?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the example username used in the text?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What type of feedback did the user provide for the products?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the next step after creating dictionaries of unique products?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the two data frames mentioned in the text?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of converting data frames into tensors?

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