This hands-on workshop will introduce the main concepts of Machine Learning such as building features from raw data, fitting an estimator, evaluating predictive accuracy with cross-validation and mitigating overfitting issues. Those concepts will be illustrated by running through a typical predictive modeling pipeline involving pandas, numpy, scikit-learn and matplotlib in a Jupyter notebook. Attendees should install the following packages: - numpy - scipy - pandas - matplotlib - jupyter - scikit-learn 0.18.1 or later