Deep Learning - Computer Vision for Beginners Using PyTorch - Histplot

Deep Learning - Computer Vision for Beginners Using PyTorch - Histplot

Assessment

Interactive Video

Computers

9th - 10th Grade

Hard

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The video tutorial introduces histogram plots, emphasizing their importance in data science for visualizing data distribution. It demonstrates creating histograms using random data with matplotlib, explaining frequency distribution and customization using bins. The tutorial also covers creating histograms from pandas dataframes and adjusting figure size. The video concludes with encouragement for further learning and exploration of data science libraries.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

How do you create a histogram plot using the variable X?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of using a histogram plot in data science?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What does the frequency distribution in a histogram represent?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the significance of the 'bins' parameter in the histogram function.

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe how to create a histogram plot using a pandas DataFrame.

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps are involved in increasing the figure size of a histogram plot?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

Why is hands-on learning emphasized in data science education?

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