Heart attack analysis dataset

📄 Dataset Description Title: Heart Attack Risk Prediction Dataset (Cleaned)File Name: heart_attack_data_cleaned.xlsRecords: Each row represents a patient’s medical profileRows: ~X (patients)Columns: ~Y (features and target variable) 🔍 Description: This dataset contains anonymized medical records used to train and evaluate machine learning models that predict the risk of heart attacks in patients. It includes demographic, clinical, and lifestyle features collected from a real-world health setting (Maro Medical Center). 📊 Key Columns: Age – Patient's age Gender – Male/Female (encoded) Cholesterol – Cholesterol level Blood Pressure – Resting blood pressure Fasting Blood Sugar – Yes/No Max Heart Rate Achieved ECG Results – Resting electrocardiographic results Exercise-Induced Angina – Binary indicator ST Depression – Depression induced by exercise Number of Major Vessels Thalassemia – Type of blood disorder Heart_Attack_Risk – Target variable: 0 (No Risk), 1 (High Risk) ✅ Source: Data processed as part of the project:“Heart Attack Risk Prediction using Ensemble Machine Learning” 📘 Colab Notebook 💻 GitHub Repository