In what scenario would you choose standardization over Min-Max scaling?

When the algorithm requires features to be on the same scale and the data is normally distributed
When the maximum and minimum values are unknown
When there are no outliers in the data
When you need to normalize the distribution

You would choose standardization over Min-Max scaling when the algorithm requires features to be on the same scale and the data is normally distributed. Standardization does not bound values to a specific range like Min-Max scaling, which can be useful for algorithms that do not require input features to be within a certain range.

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