All machine learning workflows depend on feature engineering and feature
selection. However, they are often erroneously equated by the data science and
machine learning communities. Although they share some overlap, these two ideas
have different objectives. Knowing these distinct goals can tremendously improve
your data science workflow and pipelines.
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