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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.

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Shahalt1/House-price-predition

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House-price-predition

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

  1. sklearn
  2. pickle
  3. customtkinder

How to use:

  1. load the model
  2. design a custom user-interface
  3. integrate it both
  4. run the code

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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.

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