Data Preprocessing — Glossary

preprocessing

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Definition

Cleans a dataset before modelling: imputes missing values, detects and handles outliers, and rescales feature magnitudes. Produces a derived dataset that can be chained into any other analysis.

Examples

Impute NaNs with the column mean, then min-max normalise.