Exercise $2$: Let's create a training and a test set.

Drop the target column from the ridge$\_$data DataFrame and store the remaining features in a DataFrame named X $($uppercase X$).$

Save the target column as a Series named y $($lowercase y$).$

Utilize Scikit$-$learn's train$\_$test$\_$split function, using X and yto create a training set and a test set. Allocate $80\%$ of the instances for training and $20\%$ for testing. Set the random$\_$state to $42$ to ensure reproducibility of our results. Assign the DataFrames the following names: X$\_$train, X$\_$test, y$\_$train, and y$\_$test.