Last answered:

23 Apr 2022

Posted on:

04 Jan 2022


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)
Posted on:

23 Apr 2022


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.

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