Space-time machine learning models for valuation and prediction of real estate objects

• Forschungsstelle: INNOSUISSE
• Projektnummer: 28408.1 PFES-ES
• Projekttitel Englisch: Space-time machine learning models for valuation and prediction of real estate objects

Kurzbeschreibung (Deutsch)

Space-time machine learning models for valuation and prediction of real estate objects

Kurzbeschreibung (Englisch)

Space-time machine learning models for valuation and prediction of real estate objects

Abstract (Deutsch)

The goal of this project is to investigate modern data science and machine learning methods that can handle large amounts of data in order to (i) develop novel non-stationary models for pricing of real estate objects and (ii) to develop a scenario cockpit for the prediction of real estate prices.

Abstract (Englisch)

The goal of this project is to investigate modern data science and machine learning methods that can handle large amounts of data in order to (i) develop novel non-stationary models for pricing of real estate objects and (ii) to develop a scenario cockpit for the prediction of real estate prices.