Machine learning is the branch of computer science concerned with the development of algorithms to which can learn from previously-seen data in order to make predictions about future data. It has become an important aspect of work in a variety of applications: from optimization of web searches, to financial forecasts, to studies of the nature of the Universe. This tutorial will give an hands-on experience on some more advanced aspects of applied machine learning with the scikit-learn package. In particular we will focus on text processing, out-of-core learning and distributed model fitting, selection and ensembling.