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Feature engineering is the process of using domain knowledge of the data to create features for machine learning models. This tag is meant for both theoretical and practical questions regarding feature engineering, excluding questions asking for code, that would be off-topic on CrossValidated.
2
votes
"Robust" normalization of features from multiple groups and unknown distributions prior to l...
I agree with gaborous in that you maybe seeking standardization, and a quick search for a visualization reveals lectures on why standardization is useful.
TLDW version is that this is all to avoid sq …