Given that many machine learning methods and models are still new to social scientists, I was invited to give a hands-on workshop for Tilburg’s economics department. In the first part, I covered traditional differences between supervised machine learning and classic methods in economics (click here for ppt). In the second part, we generated some example code together using sklearn in jupyter notebooks (click here for notebook).
Further, I gave a similar workshop to psychology staff. This workshop concentrated on R, rather than Python, as it is more commonly used in psychology. More precisely, I introduced R’s awesome caret package for machine learning (Kuhn, 2015).
Kuhn, M. (2015). A Short Introduction to the caret Package. R Foundation for Statistical Computing.