In this chapter, you learned a number of techniques used in forecasting, signal processing, regression, and time-series data analysis. Because forecasting and time-series analysis is a broad category, there is no single algorithm you can use that covers every case. Instead, this chapter has given you an initial toolbox of important concepts and algorithms that you can start applying to your forecasting and regression tasks.
Specifically, you learned about the difference between regression and classification. While classification assigns labels to data points, regression attempts to predict the numerical value of a data point. Not all regression is necessarily forecasting, but regression is the single most significant technique used in forecasting.
After learning the basics of regression, we explored a few specific types of regression. Namely, we discussed linear, polynomial...
