Heart Disease Prediction using Machine Learning
تفاصيل العمل
Developed a comprehensive machine learning pipeline to predict the probability of heart disease using patient health metrics. Preprocessed and cleaned the dataset for consistency and accuracy Applied feature selection and dimensionality reduction (PCA) Trained and compared supervised and unsupervised ML algorithms Performed hyperparameter tuning for optimized results Built an interactive Streamlit web app for real-time predictions This project demonstrates skills in data preprocessing, model building, evaluation, and deployment.
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