Before data scientists can run machine learning models to tease out insights, they’re first going to need to transform the data—reformatting it or perhaps correcting it—so it’s in a ...

SEE: Machine learning: A cheat sheet (TechRepublic) From there, users can review the ML-generated model and use it as a guide for any changes they need to make to their dataset.