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How to Build a Heart Disease Prediction App in Python using Tkinter

In this beginner-friendly tutorial, you’ll learn how to build a Heart Disease Risk Prediction App using Python, Tkinter, and a Random Forest model trained on the UCI dataset. Users can enter basic medical data into a simple form and receive instant predictions with confidence scores.

Perfect for Python enthusiasts, data science learners, and anyone exploring practical applications of machine learning in healthcare.

🔧 What You’ll Learn:
How to preprocess and scale medical data
How to train a Random Forest classifier using scikit-learn
How to create a clean GUI with Tkinter
How to connect real-time predictions to form inputs
How to debug and interpret model outputs

🧠 Tools Used:
Python
Tkinter
Pandas, NumPy
Scikit-learn (RandomForestClassifier)

📊 Dataset Source:
UCI Heart Disease Dataset
https://github.com/sharmaroshan/Heart...
→ Download and save as heart.csv in the same folder as your script.

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