Summary
In this chapter, we learned what forecasting is, what types of datasets we regularly deal with, and how to extract features. We then went over forecasting methods, mainly ETS models, ARIMA models, and the Prophet model. This knowledge will ultimately allow you to make strategic decisions based on reliable predictions, leading to improved marketing performance and a better understanding of your target audience and market dynamics.
In the next chapter, we’ll take some of the methods discussed here and extend them to trying to identify anomalies in data.
