Creating training and test sets

Before you create any model, it is important to split your dataset into two: a training set which will be used to build your churn model, and a test set which will be used to validate your model. To do this, you can use the train_test_split() function from sklearn.model_selection.

You'll practice creating training and test sets in this exercise. The telco DataFrame is available in your workspace.