How do you handle missing or corrupted data in a dataset?
Instruction: Describe techniques you have used to clean data before analysis.
Context: This question aims to understand the candidate's approach to preprocessing data, ensuring quality inputs for machine learning models.
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The way I'd approach it in an interview is this: The first thing I do is figure out why the data is missing or corrupted before I decide how to fix it...