{"id":25388854,"url":"https://github.com/ad1tyaraj/heart-attack-model-webapps","last_synced_at":"2026-04-29T14:03:01.911Z","repository":{"id":276599484,"uuid":"929741865","full_name":"Ad1tyaRaj/Heart-Attack-Model-webapps","owner":"Ad1tyaRaj","description":"This repository contains a machine learning project that predicts the likelihood of a heart attack based on a dataset of 170,501 rows and 25 features. 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The current model achieves an accuracy of 75%, with ongoing improvements through feature engineering and scaling.\n\n## Features\n- **Dataset Size**: 170,501 rows and 25 columns.\n- **Model Accuracy**: 75%.\n- **Techniques Used**:\n  - **Feature Engineering**: Enhancing feature selection and transformation.\n  - **Scaling**: Standardizing feature values for better model performance.\n\n## Objectives\n- Improve the model's accuracy and robustness.\n- Optimize feature selection and scaling techniques.\n- Provide a user-friendly interface and detailed documentation.\n\n## Installation\nTo set up the project locally, follow these steps:\n\n```bash\n# Clone the repository\nhttps://github.com/Ad1tyaRaj/Heart-Attack-Model-webapps.git\n\n# Navigate to the project directory\ncd heart-attack-prediction\n\n# Install dependencies\npip install -r requirements.txt\n```\n\n## Usage\nTo train and test the model, run:\n\n```bash\npython train.py\n```\n\nTo make predictions using the trained model:\n\n```bash\npython predict.py --input data/sample_input.csv\n```\n\n## Dataset\nThe dataset contains 170,501 records with 25 features, including patient demographics, medical history, and clinical measurements. Data preprocessing includes handling missing values, feature selection, and scaling.\n\n## Model Details\nThe model is built using machine learning algorithms, with improvements through feature engineering and scaling techniques. The goal is to enhance prediction accuracy beyond 75%.\n\n## Contributing\nWe welcome contributions! Feel free to fork the repository and submit pull requests.\n\n## License\nThis project is licensed under the MIT License.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fad1tyaraj%2Fheart-attack-model-webapps","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fad1tyaraj%2Fheart-attack-model-webapps","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fad1tyaraj%2Fheart-attack-model-webapps/lists"}