Building Regression Models
In the previous chapter, we learned about classification models. In this chapter, we will learn about building linear regression models where we predict numeric variables. Unlike classification models, linear regression models are used to predict a continuous numeric value. Similar to the previous chapter, here also you will learn about various methods that Redshift provides for creating linear regression models.
This chapter will provide several detailed examples of business problems that can be solved with these modeling techniques. In this chapter, we will walk through how you can try different algorithms to get the best regression model.
By the end of this chapter, you will be in a position to identify whether a business problem is a linear regression or not and then be able to identify the right method that Redshift provides to train and build the model.
In this chapter, we will go through the following main topics:
- Introducing regression...
