Getting started with time series models

In the next sections of this chapter, we will go through real-world examples of time series forecasting, explained in detail. Every time series model typically follows the following structure:

1. Load and apply feature engineering on the dataset.
2. Build the model.
3. Train the model.
4. Perform time series forecasting.

Let's get started in the following section.