Semester Project | Public Transit Data Mining
Large Scale Machine Learning @ Technical University of Munich, Chair of Data Mining and Analytics | Siemens AG
Collaborators: Shankari Giri, Nick Harmening
We investigated various ML methods to quantify the delay prediction uncertainty in the DB navigator app. Our final hybrid Bayesian network model was able to capture both domain knowledge and latent interactions between train stations and enabled an accurate indication of delay.
