Again, congratulations on making it this far! We have come a long way since the beginning of this book. We first defined time series and learned how to forecast them using statistical models that generalize as the SARIMAX model. Then we turned to large, high-dimensional datasets and used deep learning for time series forecasting. In the previous chapter, we covered one of the most popular libraries for automating the entire forecasting process: Prophet. We developed two forecasting models using Prophet and saw how quick and easy it is to generate accurate predictions with few manual steps.