Stephen-Echessa/Nairobi-Property-Price-Prediction

Project to build a machine learning model that predicts property prices in Nairobi, Kenya, based on data scraped from buyrentkenya.com. Features a user-friendly web interface built with Gradio for easy interaction with the model. # Nairobi Property Price Predictor ## Overview This project aims to predict property prices in Nairobi, Kenya, using machine learning techniques. The model is trained on data scraped from buyrentkenya.com and deployed as a web application using Gradio for easy interaction. github.com ## Features Predicts property prices based on various features such as location, number of bedrooms, amenities, etc. - User-friendly web interface for easy interaction with the model - Data scraped from a real estate website to ensure up-to-date information - Handles both sale and rental properties ## Technologies Used - Python - Scikit-learn, XGBoost, LightGBM and CatBoost for machine learning - Gradio for web interface - Beautiful Soup - Pandas for data manipulation - NumPy for numerical operations ## Clone this repository: git clone github.com ## Usage The model is deployed at HuggingFace Spaces, so you can test it out by clicking here: Chescore/Nairobi-Property-Price-Predictor ## Model Details - The model uses LightGBM for prediction. - Features include sub-county, number of bedrooms, bathrooms, property type, and various amenities. - Resulted in an R^2 score of 0.85. ## Data Collection - Data was scraped from BuyRentKenya.com using [Beautiful Soup]. - The scraping script can be found in `house_scrap_soup.py`. ## Future Improvements - Implement regular data updates to keep the model current - Add more features such as proximity to amenities, crime rates, etc. - Explore advanced models like neural networks ## Contributing Contributions are welcome! Please feel free to submit a Pull Request. ## Disclaimer This project is for educational purposes only. The predictions should not be used as the sole basis for real estate decisions. Always consult with a qualified real estate professional. ## Acknowledgments - BuyRentKenya.com for being the source …