{"id":21649955,"url":"https://github.com/raufjatoi/heart","last_synced_at":"2025-06-22T08:34:32.654Z","repository":{"id":254529105,"uuid":"846819837","full_name":"Raufjatoi/Heart","owner":"Raufjatoi","description":"model implementation on heart disease dataset ","archived":false,"fork":false,"pushed_at":"2024-08-24T10:30:27.000Z","size":2014,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-20T03:21:03.531Z","etag":null,"topics":["data-visualization","eda","machine-learning","machine-learning-algorithms"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Raufjatoi.png","metadata":{"files":{"readme":"readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-24T03:42:27.000Z","updated_at":"2024-08-31T07:19:31.000Z","dependencies_parsed_at":"2024-11-25T07:37:18.544Z","dependency_job_id":"2ab7ac51-f551-46fe-8a57-158f96487c6b","html_url":"https://github.com/Raufjatoi/Heart","commit_stats":null,"previous_names":["raufjatoi/heart"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Raufjatoi/Heart","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Raufjatoi%2FHeart","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Raufjatoi%2FHeart/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Raufjatoi%2FHeart/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Raufjatoi%2FHeart/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Raufjatoi","download_url":"https://codeload.github.com/Raufjatoi/Heart/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Raufjatoi%2FHeart/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261262868,"owners_count":23132523,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-visualization","eda","machine-learning","machine-learning-algorithms"],"created_at":"2024-11-25T07:37:03.037Z","updated_at":"2025-06-22T08:34:27.631Z","avatar_url":"https://github.com/Raufjatoi.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🫀 \u003cspan style=\"color:#FF4C4C\"\u003eHeart Disease Prediction Model\u003c/span\u003e 🩺\n\n## 🚀 \u003cspan style=\"color:#FF8C00\"\u003eProject Overview\u003c/span\u003e\n\nWelcome to the Heart Disease Prediction Model project! This project leverages the heart disease dataset to predict the likelihood of heart disease in patients. With a focus on model performance, we’ve utilized various machine learning algorithms to identify the most effective approach for this task.\n\n## 🔍 \u003cspan style=\"color:#4CAF50\"\u003eExploratory Data Analysis (EDA)\u003c/span\u003e\n\nBefore diving into modeling, we conducted comprehensive Exploratory Data Analysis to understand the dataset's characteristics:\n\n- **Data Exploration**: Uncovered key statistics and data distributions.\n- **Visualizations**: Created plots to reveal insights and correlations.\n- **Feature Analysis**: Evaluated the importance of different features in predicting heart disease.\n\n## 🧑‍🔬 \u003cspan style=\"color:#3F51B5\"\u003eModeling Process\u003c/span\u003e\n\nWe experimented with several machine learning models to find the best performer:\n\n1. **Random Forest** 🌲: Achieved the highest accuracy of \u003cspan style=\"color:#FF5722\"\u003e\u003cb\u003e98%\u003c/b\u003e\u003c/span\u003e! \n2. **Neural Networks** 🧠: Performed well, but not as effectively as Random Forest.\n3. **Gradient Boosting** 🚀: Competed closely but did not surpass the Random Forest model.\n\n## 📊 \u003cspan style=\"color:#9C27B0\"\u003eResults \u0026 Findings\u003c/span\u003e\n\n- **Best Model**: **Random Forest** 🌲 with \u003cspan style=\"color:#FF5722\"\u003e\u003cb\u003e98% accuracy\u003c/b\u003e\u003c/span\u003e.\n- **Other Models**: Neural Networks and Gradient Boosting showed competitive performance but didn’t reach the accuracy of Random Forest.\n\n## 💡 \u003cspan style=\"color:#009688\"\u003eKey Insights\u003c/span\u003e\n\n- **Random Forests** are robust and well-suited for this dataset.\n- **Feature Importance**: Certain features play a critical role in predictions.\n- **Unexpected Results**: The Random Forest model exceeded expectations.\n\n## 📈 \u003cspan style=\"color:#FFEB3B\"\u003eFuture Work\u003c/span\u003e\n\n- **Hyperparameter Tuning**: Experiment with model parameters for potential improvements.\n- **Model Comparison**: Analyze additional models and techniques.\n- **Real-World Application**: Implement the model into a real-time prediction system.\n\n## 🤝 \u003cspan style=\"color:#FF9800\"\u003eContributing\u003c/span\u003e\n\nContributions are welcome! If you have suggestions or improvements, please:\n\n- **Fork the Repository**\n- **Create a Pull Request**\n- **Discuss Changes**: Share your thoughts in the issues section.\n\n## 💬 \u003cspan style=\"color:#3F51B5\"\u003eContact\u003c/span\u003e\n\nFeel free to reach out for any questions or collaboration opportunities:\n\n- **Email**: zulqar446ali@gmail.com\n- **LinkedIn**: [Abdul Rauf](https://www.linkedin.com/in/abdul-rauf-aa44892aa/)      \n---\n\nThank you for exploring the Heart Disease Prediction Model project! 🎉\n\n---\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraufjatoi%2Fheart","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fraufjatoi%2Fheart","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraufjatoi%2Fheart/lists"}