Machine Learning 101++ using Python
Machine Learning is often hyped, but how does it work? We will show you hands-on how you can do data inspection, prediction, build a simple recommender system and so on. Using realistic datasets and partially programmed code we will make you accustomed to machine learning concepts such as regression, classification, over-fitting, cross-validation and many more. This tutorial is accessible for anyone with some basic Python knowledge and eager to learn the core concepts of machine learning. We make a use of a iPython/Jupyter Notebook running on a dedicated server, so nothing but a laptop with internet connection is required to participate.
A laptop and a browser.