Heart Disease Prediction using the UCI Dataset with basic machine learning algorithms and a Tkinter-based GUI.

This project includes:

• Data cleaning and preprocessing
• Training several machine learning models:
  • Logistic Regression
  • K-Nearest Neighbors (KNN)
  • Support Vector Machine (SVM)
  • Decision Tree
  • Random Forest
• Hyperparameter tuning using GridSearchCV
• Visualization of results and feature importance
• GUI built with Tkinter for user input and prediction

• Python
• pandas
• scikit-learn
• matplotlib
• seaborn
• tkinter