Learning Outcomes
The students have knowledge about and practical experience in independent application of machine learning methods to a real world dataset in a specific application scenario. This particularly includes pre-processing of real world data, calibration of prediction methods, and the comparison of different approaches. The students are also able to apply machine learning methods to other real world datasets, as well as estimating the extent, complexity, and chance of success of such a project from a practical point of view.