FeatureEngineering

Transforming raw data into features a model can use effectively.

Why we need this / what value this brings

Good features often matter more to model quality than the choice of model architecture itself.

When to use this

During model development, informed by domain knowledge of what actually predicts the target.

How to use or implement this

Start with domain-informed features before automated feature generation; validate each feature's actual predictive value.

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Empty folder — drop notes, links, and findings here as you research.