Deep Learning - Computer Vision for Beginners Using PyTorch - Working with Null Values

The video tutorial explains how to handle missing values in a pandas dataframe. It covers methods to identify missing values using isnull and sum, and demonstrates how to delete rows or columns with null values using the dropna method. The tutorial also explains the use of the inplace parameter to apply changes directly to the original dataframe. Finally, it previews the next topic on slicing dataframes.

What are the two main ways to deal with missing values in a data set?

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How can you check the number of null values in each column of a DataFrame?

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What method is used to delete rows with at least one null value?

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What happens to the original DataFrame when you apply the dropna method without the inplace parameter?

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What is the purpose of the inplace parameter in the dropna method?

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What is the output shape of the DataFrame after dropping rows with null values?

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How can you specify that you want to drop columns instead of rows when dealing with null values?

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