The training process of a forecasting model is the final step of the time series analysis. The focus of this chapter was to introduce the principle of the forecasting workflow. As we saw, there are several methods that we can use to train a forecasting model, and the method selection process should align with the forecasting goals and available resources. In the following chapters, you will see these applications in practice.
In the next chapter, we will use the applications of the linear regression model to forecast time series data.