Data Science Lab

During the lab, students will work in teams on data science tasks on real data gathered from industrial as well as academic partners of the Faculty of Informatics. The tasks will concern both basic and applied research, under the supervision of experienced data scientists, necessary for delivering the results in a desired quality. The projects will follow suitable industrial data science methodologies such as for example, the CRISP-DM process. Emphasis will be given on delivering prototype solutions to the determined tasks concerning, but not limited to, data pre-processing, data transformation, data visualization, modeling (model selection, hyper-parameter tuning, model combination, etc.), model evaluation as well as deployment, real-time data analytics for descriptive and predictive mining, anomaly detection, just to name a few. The exact tasks will be determined by the industrial partners and they will play an important role also in the evaluation of the delivered solutions/prototypes.