Cross validation is a technique commonly used In Data Science. Most people think that it plays a small part in the data science pipeline, i.e. while training the model. However, it has a broader application in model selection and hyperparameter tuning. Let us first explore the process of cross validation itself and then see how it applies to different parts of the data science pipeline Cross-vali…