How to choose between Normalization or Standardization to scale the features of a dataset?

• Normalization:

• During normalization, the values are shifted and resized so that they end up being between 0 and 1.

• Standardization:

• The standardization method first subtracts the mean value and then divides it by standard deviation so that the resulting distribution of the features has a mean of 0 and standard deviation of 1.

• You don't need to use both standardizations at the same time for rescaling the data.

• You need to use normalization when the dataset does not follow normal distribution.

• You need to use standardization when the dataset follows a normal distribution.