In this chapter, you've learned about the different types of regression techniques. Regression analysis is a statistical process that's done to study the relationship between a set of independent variables (explanatory variables) and a dependent variable (response variable). Regression algorithms show you how the value of the response variable changes when the explanatory variable is varied. The concepts underlying regression were explored. Furthermore, we gained an understanding of the differences between simple and multiple regression. Later, we saw how a simple and multiple linear regression problem is represented algebraically. Thus, we have analyzed how a regression problem is solved through the least squares algorithm.
The second part of this chapter was dedicated to the practical resolution of a multiple regression problem using the keras library. Modeling...
