Deep Learning - Computer Vision for Beginners Using PyTorch - Slicing Pandas Dataframe

Deep Learning - Computer Vision for Beginners Using PyTorch - Slicing Pandas Dataframe

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Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video tutorial covers creating a DataFrame using pandas, accessing specific columns and rows, and filtering data based on conditions. It demonstrates using pandas functions like iloc and loc for row access and explains how to extract data into variables and check their types. The tutorial also shows how to apply conditions to filter data efficiently.

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3 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how to create a DataFrame with multiple columns.

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What does the command 'DF.iloc[3]' return?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the output of applying a condition to a DataFrame?

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