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

• Unité de recherche: INNOSUISSE
• Numéro de projet: 28408.1 PFES-ES
• Titre du projet anglais: Space-time machine learning models for valuation and prediction of real estate objects

Description succincte (Allemand)

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

Description succincte (Anglais)

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

Résumé des résultats (Abstract) (Allemand)

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.

Résumé des résultats (Abstract) (Anglais)

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.