Practical Machine Learning for Data Analysis Using Python

Chapter 6

Regression examples

Abstract

This chapter deals in detail with regression learning problems, which involve correctly predicting the evaluated labels of the points or items being considered as closely as possible using data. Since regression is a common task with different applications in machine learning, we reserve this particular chapter to explain and study it. Regression is processes for evaluating the relationships among a dependent variable and one or more independent variables. The grouping model theory involves dividing the instance space into segments and learning a local model in each segment as simply as possible. In the previous chapters, the learning tasks focused primarily on classification problems. In this chapter we present ...