Screenshots


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.