In this chapter, we embarked on a whirlwind tour of machine learning, examining the role of pandas in feature extraction, selection, and engineering as well as learning about key concepts in machine learning such as supervised versus unsupervised learning. We also had a brief introduction to a few key algorithms in both methods of machine learning, and we used the scikit-learn package to utilize these algorithms to learn and make predictions on data. This chapter was not intended to be a comprehensive treatment of machine learning, but rather to illustrate how pandas can be used to assist users in the machine learning space.