This tutorial provides you with an introduction to machine learning in Python using the popular scikit-learn library. This tutorial will teach you the basics of scikit-learn. I will give you a brief overview of the basic concepts of classification and regression analysis, how to build powerful predictive models from labeled data. Although it's not a requirement for attending this tutorial, I highly recommend you to check out the accompanying GitHub repository at https://github.com/rasbt/pydata-chicago2016-ml-tutorial 1-2 days before the tutorial. During the session, we will not only talk about scikit-learn, but we will also go over some live code examples to get the knack of scikit-learn's API.