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.

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