In a scenario where your dataset has a Gaussian distribution, which scaling method is typically recommended and why?

All scaling methods work equally well with Gaussian distributed data
Min-Max scaling because it scales all values between 0 and 1
Robust scaling because it is not affected by outliers
Z-score standardization because it creates a normal distribution

Z-score standardization is typically recommended for a dataset with a Gaussian distribution. Although it doesn't create a normal distribution, it scales the data such that it has a mean of 0 and a standard deviation of 1, which aligns with the properties of a standard normal distribution.

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