Different Data Splitting Cross-Validation Strategies with Python

In this article, we will cover the cross-validation methods to split the data set uniformly to get good performance on prediction. We see how our data is splitting into the training set and testing set in our machine learning algorithm. But, if you ever tried to think that these two sets are enough to build the production model. From my point of view, we should include the validation set before we predict the test set. It is important because if the model gets overfit then we can tuning the hyperparameters after checking with the validation set and set the good parameter for our test set.