This project aims to predict real estate prices using machine learning techniques. By analyzing historical data, the model provides insights into property pricing trends and helps make informed decisions.
Features
- Data preprocessing and cleaning
- Exploratory data analysis (EDA)
- Machine learning model training and evaluation
- Price prediction for new data
Technologies Used
- Python
- Pandas, NumPy
- Scikit-learn
- Matplotlib, Seaborn
- NextJS
Interested in this project?
Check out the full source code and documentation on GitHub.