K-Fold Cross Validation for Machine Learning Models

An overview of Cross Validation techniques using sklearn

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The machine learning methods often fail to model the data because they learn particular features of the training set, that are not present in the test set. So these features are not representative and we are in a situation of Overfitting. It happens when the model fits too much of…