In this section, you're going to apply your knowledge of regression to the California Housing Dataset. You will extend the pipeline you built in the previous exercise, add a regression algorithm, train a machine learning model, and then evaluate the predictions generated by the fully trained model.

Finally, we'll explore the RMSE, MAE and MSE metrics and I'll share some tips with you on how you can improve the predictive quality of your model.