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.
normalization
What is MinMax Normalization? Compare MinMax Normalization with Z-Score Standardization
Another technique that we may wish to use, when preparing our ‘Training Data’, is ‘MinMax Normalization’.
What is Normalization?
Normalization, also known as ‘Unit-Length Scaler’, is a ‘Feature Scaler’ that can be used when preprocessing numerical data.
What is Feature Standardization (or Z-Score Normalization), and why is it needed?
Feature Standardization is a technique for pre-processing numerical raw data during the creation of your training data.