Summary

In this chapter, we started with the basics of regression algorithms and applied them to predict the price of houses. We then learned how to evaluate regression models; we were introduced to linear regression through various libraries such as scikit-learn, Apache Spark, and SageMaker's linear learner; and, finally, we saw how to use logistic regression for classification problems, and the pros and cons of linear models.

In the next chapter, we will predict user behavior with tree-based methods.