Resolved: Scale or StandardScaler, what's the difference?
What's the difference between the two methods? Is using StandardScaler wrong in this case?
1 answers ( 1 marked as helpful)
hi, mathematically nothing.
technically, scale can process multiple numeric columns while StandarScaler only one at the time.
you have to use sklearn.compose.make_column_transformer to automate the process.
scale is fine when you have only numeric but when it mixed make_column_transformer gives you better control which columns do you want to scale.
