Stop 03 · Data Manipulation & VisualizationTopics · 4/10
Handling Missing Data
Part of the AI Engineer Roadmap
In short
Strategies (drop, impute, flag) for dealing with nulls in a dataset — a decision that materially affects model performance and must be made deliberately, not automatically.
How to learn this
- 1Practice `.isnull()`, `.dropna()` and `.fillna()` with different imputation strategies.
- 2Learn when dropping rows is safe vs. when it introduces bias.
- 3Compare mean/median imputation vs. model-based imputation on a real dataset.
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