In this chapter, we were introduced to the basic concepts of regression analysis, and then we discovered different types of statistical processes. Starting from the origin of the term regression, we explored the meaning of this type of analysis. We have therefore gone through analyzing the real cases in which it is possible to extract knowledge from the data at our disposal.
Then, we analyzed how to build regression models step by step. Each step of the workflow was analyzed to understand the meaning and the operations to be performed. Particular emphasis was devoted to the generalization ability of the regression model, which is crucial for all other machine learning algorithms.
We explored the fundamentals of regression analysis ...
