feature selection

What is the difference between Feature Engineering and Feature Selection?

Feature Engineering is the process of using domain knowledge to extract numerical representations from raw data.

Feature selection seeks to reduce the feature space by eliminating candidate predictors that have little predictive power for the target of interest.

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