{"id":25627155,"url":"https://github.com/rohitinu6/diabetes-prediction","last_synced_at":"2026-04-19T01:02:23.574Z","repository":{"id":274927714,"uuid":"924061524","full_name":"rohitinu6/Diabetes-Prediction","owner":"rohitinu6","description":"This project aims to predict the likelihood of a patient having diabetes based on health parameters.","archived":false,"fork":false,"pushed_at":"2025-02-06T03:01:46.000Z","size":1233,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-22T17:37:54.554Z","etag":null,"topics":["data-science","diabetes-prediction","eda","health-analytics","healthcare-application","jupyter-notebook","machine-learning","machine-learning-algorithms","python","visualization"],"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/rohitinu6.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":"2025-01-29T10:50:47.000Z","updated_at":"2025-02-06T03:02:55.000Z","dependencies_parsed_at":null,"dependency_job_id":"7255027e-748d-4a2b-897d-7cea0e426dff","html_url":"https://github.com/rohitinu6/Diabetes-Prediction","commit_stats":null,"previous_names":["rohitinu6/diabetes-prediction"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rohitinu6/Diabetes-Prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitinu6%2FDiabetes-Prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitinu6%2FDiabetes-Prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitinu6%2FDiabetes-Prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitinu6%2FDiabetes-Prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rohitinu6","download_url":"https://codeload.github.com/rohitinu6/Diabetes-Prediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitinu6%2FDiabetes-Prediction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":284134778,"owners_count":26953118,"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","status":"online","status_checked_at":"2025-11-12T02:00:06.336Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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-science","diabetes-prediction","eda","health-analytics","healthcare-application","jupyter-notebook","machine-learning","machine-learning-algorithms","python","visualization"],"created_at":"2025-02-22T17:32:32.602Z","updated_at":"2025-11-13T01:01:43.553Z","avatar_url":"https://github.com/rohitinu6.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Diabetes Prediction\n\n## 📌 Project Overview\n\nThis project aims to predict the likelihood of a patient having diabetes based on health parameters. By utilizing machine learning models, it provides insights into potential diabetes risks and assists in early diagnosis.\n\n## 🚀 Features\n\n- Data preprocessing and exploratory data analysis (EDA)\n- Feature selection and engineering\n- Machine learning model development\n- Model evaluation and optimization\n\n## 🛠 Tech Stack\n\n- Python\n- Pandas, NumPy\n- Scikit-learn\n- Matplotlib, Seaborn\n- Jupyter Notebook\n\n## 📂 Dataset\n\nThe dataset includes various medical parameters such as:\n\n- **Age**\n- **Blood Pressure**\n- **Glucose Levels**\n- **BMI**\n- **Insulin Levels**\n- **Diabetes Pedigree Function**\n\n## 📊 Machine Learning Models Used\n\n- Logistic Regression\n- Random Forest Classifier\n- Support Vector Machine (SVM)\n- XGBoost\n\n## 🔥 Results\n\nThe models are evaluated based on accuracy, precision, recall, and AUC-ROC score. The best-performing model provides reliable predictions for diabetes risk.\n\n## 📁 Repository Structure\n\n```\n📂 Diabetes-Prediction\n👉 📂 data (Dataset \u0026 processed data)\n👉 📂 notebooks (Jupyter Notebooks)\n👉 📂 models (Trained models)\n👉 📂 images (Code and Results Screenshots)\n👉 📄 README.md (Project documentation)\n```\n\n## 🖼 Code and Results\n\nInclude images of code and results in the `images` folder. Example:\n\n\u0026#x20;\n\n## 💜 How to Run the Project\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/rohitinu6/Diabetes-Prediction.git\n   ```\n2. Navigate to the project folder:\n   ```bash\n   cd Diabetes-Prediction\n   ```\n3. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n4. Run the Jupyter Notebook or Python scripts to train and test models.\n\n## 📞 Links\n\n- **GitHub Repository:** [Diabetes Prediction](https://github.com/rohitinu6/Diabetes-Prediction.git)\n- **Portfolio:** [Rohit Dubey](https://tinyurl.com/dubeyrohit)\n- **GitHub Profile:** [rohitinu6](https://github.com/rohitinu6)\n- **LinkedIn:** [Rohit Dubey](https://www.linkedin.com/in/rohit-dubey-d/)\n- **Twitter/X:** [@rohitdubey003](https://x.com/rohitdubey003)\n\n## 🗝 Tags\n\n`Machine Learning` `Diabetes Prediction` `Health Analytics` `Data Science` `Python` `EDA`\n\n## 📝 License\n\nThis project is licensed under the [MIT License](https://opensource.org/licenses/MIT).\n\n---\n\n💡 **For any queries or collaboration opportunities, feel free to connect!** 🚀\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frohitinu6%2Fdiabetes-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frohitinu6%2Fdiabetes-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frohitinu6%2Fdiabetes-prediction/lists"}