Machine learning gets a lot of hype, but how does it work? In this hands-on introduction, we will show you how to perform data inspections, make predictions, build a simple recommender system, and more.

Using realistic datasets and partially programmed code, you will learn about machine learning concepts such as regression, classification, over-fitting, cross-validation, and more. This tutorial is perfect for anyone with some basic Python knowledge who is eager to learn the core concepts of machine learning.

If you can write some code in any programming language, you should be able to follow this workshop. We will use an iPython/Jupyter Notebook running on a dedicated server. All you need to participate is a laptop with an internet connection.