How to split your dataset into train, test, and validation sets?

#artificialintelligence 

Here is a quick article for all my data scientist and machine learning engineer friends. If you've been using the train_test_split method by sklearn to create the 3 train, test, and validation sets, then I know your pain. While it certainly provides us a way to achieve our objective, however, it is a long-drawn-out procedure as we have to repeat the process twice adjusting the split ratio with every step. But rejoice, fast_ml is here! It offers a straightforward and to-the-point method to achieve the three different datasets with a single line of code.

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