JensBender/rental-price-prediction
🏠 Predicting Singapore rental prices using XGBoost. Includes web scraping of properties, feature engineering via Google Maps API, and a Dockerized Flask application for deployment.
This project helps individuals and real estate professionals estimate rental prices for properties in Singapore. By taking property details like size, address, and amenities, it provides an estimated rental price. It is designed for prospective renters, property agents, or investors in the Singapore real estate market.
Use this if you need to quickly assess whether a rental property listing in Singapore is priced fairly or if you are trying to set a competitive rental price for your property.
Not ideal if you are looking for rental price predictions outside of Singapore or for a highly customized appraisal based on unique property features not typically found in standard listings.
Stars
8
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
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