COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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How do you handle missing or corrupted data in a dataset?
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Drop missing rows or columns
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Replace missing values with mean/median/mode
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Assign a unique category to missing values
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All of the above
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Explanation:
Detailed explanation-1: -One way of handling missing values is the deletion of the rows or columns having null values. If any columns have more than half of the values as null then you can drop the entire column. In the same way, rows can also be dropped if having one or more columns values as null.
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