Would it be ok to standardize all the features that exhibit normal distribution (with
StandardScaler) and then re-scale all the features in the range 0-1 (with
MinMaxScaler). So far I've only seen people doing one OR the other, but not in combination. Why is that?
Also, is the Shapiro Wilk Test a good way to test if standardization is advisable? Should all features exhibit a normal distribution or are you allowed to transform only the ones that do have it?