You're preparing data for a supervised learning task, and several features have missing values. You need a practical way to handle them without distorting model performance.
Question
How do you handle missing data in a dataset?
Problem
Scenario
You're preparing data for a supervised learning task, and several features have missing values. You need a practical way to handle them without distorting model performance.
Question
How do you handle missing data in a dataset?
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