Built a house price prediction model using Random Forest Regression in Python's Scikit-Learn. The model is integrated into a user-friendly Tkinter GUI. Users input house details, click "Submit," and get an instant price prediction. The project is scalable and customizable, offering a straightforward solution for predicting house prices.
prerequisite:: python libraries
- sklearn
- pickle
- customtkinder
How to use:
- load the model
- design a custom user-interface
- integrate it both
- run the code