Question 5 of 10Pro Only

How do you handle missing values in a Pandas DataFrame? Describe different strategies and when you would use each approach.

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Handling missing values is a critical preprocessing step in machine learning. Pandas provides several methods, and the right choice depends on your data characteristics and modeling goals. First, you need to identify missing values.

missing valuesdropnafillnaimputationmeanmedian

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