Summary

In this chapter, we were introduced to the open source machine learning library for Python, scikit-learn. You learned to preprocess data, as well as how to tune and fit a few different regression and classification algorithms. Lastly, you learned how to quickly and effectively evaluate the performance of classification and regression models. This was a very comprehensive introduction to the scikit-learn library, and the strategies employed here can be applied to building numerous additional algorithms provided by scikit-learn.

In the next chapter, you will learn about dimensionality reduction and unsupervised learning.