Summary

In this chapter, we learned about the data science/machine learning workflow. We learned how to take our data step by step through each stage of the pipeline, going from acquisition all the way through to deployment. We also learned key features of each of the most important libraries in the Python scientific stack. We will now take this knowledge and these lessons and begin to apply them to create unique and useful machine learning applications. Let's get started!