If I am right, by using StandardScaler for training data in cell #6, guarantees zero-mean values an variance equal to 1. While minmaxScaler allow to fix extremes to -1 and 1 for the values of the targets y. Why making different scaling choices?
The main difference in the scaling techniques is how to deal with :
for example minmaxScaler this Scaler responds well if the standard deviation is small and when a distribution is not Gaussian . This Scaler is sensitive to outliers .
you can check this articale it’s very useful
Thank you. I will read the reference you pointed out!