The 2nd Euregio Data Science Summer School will cover the following topics:

• Data processing: Handling and processing of data sets in various formats, scraping data, database development and operation.
• Statistical learning: Linear models, cross validation, genetic algorithms, regularization, LASSO, trees, ensembles, boosting, clustering.
• Probabilistic forecasting: Distributional regression, distributional forests, quantile regression, probabilistic calibration.
• Reporting: Sweave, RMarkDown, dashboards, Shiny apps.

The detailed program will be announced soon.