healthcare-classification

A Streamlit-based machine learning app for heart disease prediction, featuring data visualization, model evaluation, and interactive risk assessment.

Heart disease classification using machine learning algorithms with hyperparameter tuning for optimized model performance. Algorithms include XGBoost, Random Forest, Logistic Regression, and moreto find the best model for accurate heart disease prediction.

🧩 Heart Disease Prediction using Machine Learning A modular ML project built with Python that predicts the likelihood of heart disease using Logistic Regression, Random Forest, and SVM. Includes preprocessing, visualization, evaluation metrics, and a Tkinter GUI.