04. Exercise 1: Cross-Validation and the Train-Test Split

In this exercise, you will split the dataset into training and test sets, see how imputing missing values and scaling features is done correctly (post-split) and then use k-fold cross-fold validation to get better, more realistic estimates of your model's performance on unseen data.