April 2018
Intermediate to advanced
456 pages
11h 47m
English
In the last two chapters, you have got quite a good conceptual overview of supervised learning algorithm for categorical data prediction. You got a detailed understanding of all the popular models of classification that are used by machine learning practitioners to solve a wide array of prediction problems where the target variable is a categorical variable.
In this chapter, we will build concepts on prediction of numerical variables – which is another key area of supervised learning. This area, known as regression, focuses on solving problems such as predicting value of real estate, demand forecast in retail, weather forecast, etc.
First, you will be introduced ...