What is Max Absolute Scaler? Compare it with MinMax Normalization? Why scaling to [-1, 1] might be better than [0, 1] scaling?
‘Max Absolute Scaler’ is another option for preprocessing Training Data.
‘Max Absolute Scaler’ is another option for preprocessing Training Data.
Another technique that we may wish to use, when preparing our ‘Training Data’, is ‘MinMax Normalization’.
Feature scaling is a data pre-processing technique that transforms the original support of a variable to a different scale.