How to Build a House Price Prediction App in Python with Tkinter and scikit-learn?

Learn how to create a machine learning-powered House Price Prediction App using Python, Tkinter, and scikit-learn!

In this beginner-friendly tutorial, you'll:
🏡 Use the California Housing dataset to train a regression model
🧠 Build a Random Forest model to predict home prices
🖥️ Create a clean GUI with Tkinter for user-friendly input
💡 Display real-time predictions for estimated home values

🧪 What You’ll Learn:
- Loading and preprocessing real-world datasets
- Building and training a regression model
- Scaling input data
- Creating interactive Python GUIs
- Connecting GUI to ML predictions

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📈 Releasing the full code when this video hits 50 likes!

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