Tell us how do you handle missing or corrupted data in a dataset?
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Answer / Krishna Kumar Tiwari
Handling missing data can involve strategies like imputation (filling missing values with statistical estimates), deletion of affected rows (if the number of missing values is small), or using advanced techniques like multiple imputation. For corrupted data, outlier detection and removal methods can be applied.
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