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How To Handle Or Missing Data In A Dataset?
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Answer / Ashwini Kumar Singh
Missing data in a dataset can be handled using techniques such as imputation (replacing missing values with estimated ones), deletion (removing rows or columns with missing values), and handling them as separate categories. Other methods include regression, mean/median imputation, and multiple imputation.
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