Resolved: Scale or StandardScaler, what's the difference?
What's the difference between the two methods? Is using StandardScaler wrong in this case?
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.