Predictive Peaks: Swiss Property Insights
Urs Hurni
Published
0
R, Machine Learning
Machine learning project to predict real estate prices in Switzerland using data from ImmoScout24 and Swiss Federal Statistical Office.
This project uses machine learning to predict real estate prices in Switzerland, using data from ImmoScout24 and Swiss Federal Statistical Office. Techniques like Linear Regression and Random Forest are employed, with a focus on model accuracy and local market trends.
Key predictors like property size are identified, suggesting potential for broader applications in real estate decision-making. The project demonstrates the power of combining multiple data sources to create accurate predictive models.