Screen Link:https://app.dataquest.io/m/236/feature-selection/5/removing-low-variance-features
Here we are introduced to min max scaling. Why do we use min max scaling (values between 0 and 1 x-min/column range) and not standardisation normalisation (x-mu/sigma). These are different as you can get values greater than 1 etc though unlikely.
Why use one not the other