What is feature scaling, and why is it important? Compare StandardScaler and MinMaxScaler in Scikit-learn and explain when to use each.

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Feature scaling transforms numerical features to a common scale without distorting differences in the ranges of values. It is a critical preprocessing step for many machine learning algorithms. Feature scaling is important for several reasons.