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Usually "normalization" means re-expressing data to make values lie within a specified range.

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For machine learning models that include coefficients (e.g. regression, logistic regression, etc) the main reason to normalize is numerical stability. Mathematically, if one of your predictor columns …
answered Sep 28 '18 by Steven Scott