This project is a web application for predicting house prices using an XGBoost regression model. Users can input various features, such as median income, house age, average rooms, average bedrooms, population, average occupation, latitude, and longitude, to get a predicted house price.
Before you begin, ensure you have the following prerequisites installed:
- Python 3.x
- pip (Python package installer)
-
Clone the repository:
git clone https://github.com/your-username/house-price-web-app.git
Run the streamlit web app
streamlit run app.py