Time Series Forecasting in Python

20 Capstone: Forecasting the monthly average retail price of steak in Canada

This chapter covers

• Developing a forecasting model to predict the monthly average retail price of steak in Canada
• Using Prophet’s cross-validation functionality
• Developing a SARIMA model and comparing its performance to Prophet to determine the champion model

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 ...