Summary

This brings us to the end of the chapter. In this chapter, we learned about regression and regression analysis. We learned about various techniques for performing regression analysis and how to implement them in machine learning applications. We learned about linear models, ridge regression, Bayesian ridge regression, LASSO regression, and also spline interpolation.

In the next chapter, we start discussing deep learning models, beginning with the perceptron.