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It is impossible to over-state the importance of cross-validation in the world of both statistics and data science. No matter the experience level of a data scientist or team, it never hurts to review the basics of this important technique
This guide will explore the ins and outs of cross-validation, examine its different methods, and discuss why it matters in today's data science and machine learning processes.Original Article
