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What is a real world example of Handling Missing Data

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A healthcare dataset with some missing age values might use the average patient age to fill in the gaps before training a model.
Real-world example A healthcare dataset with some missing age values might use the average patient age to fill in the gaps before training a model.

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AI Data Preparation & Feature Engineering topics: Data Cleaning for AI Models Handling Missing Data Feature Scaling & Normalization
All 7 Handling Missing Data questions