feature scaling

Among the common machine learning algorithms, which require feature scaling, and which do not?

Scaling is necessary for ML algorithms such as Neural Networks, regularized regression, SVM, KNN

Feature scaling is a data pre-processing technique that transforms the original support of a variable to a different scale.

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