There are a few ways to standardize/normalize your data.
First, you can use the "Prepare Data" interface where you can find options for removing white spaces, applying formats, splitting column, parsing data, extracting fields and more. (See here https://go.documentation.sas.com/?cdcId=dprepcdc&cdcVersion=2.5&docsetId=datastudioadv&docsetTarget=... and here https://go.documentation.sas.com/?cdcId=dprepcdc&cdcVersion=2.5&docsetId=datastudioadv&docsetTarget=...).
If you prefer to work with SAS code, you can use the "Develop SAS Code" interface and use DATA steps or actions and procs.
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.