{"id":23903009,"url":"https://github.com/elfgk/diabetes-data-analysis","last_synced_at":"2025-08-31T12:43:32.253Z","repository":{"id":269352794,"uuid":"907144852","full_name":"elfgk/Diabetes-Data-Analysis","owner":"elfgk","description":"diabetes data analysis","archived":false,"fork":false,"pushed_at":"2024-12-29T22:18:41.000Z","size":167,"stargazers_count":4,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-03T02:42:53.393Z","etag":null,"topics":["analysis","data-analysis","diabetes-data-analysis","eda","jupiter-notebook"],"latest_commit_sha":null,"homepage":"https://huggingface.co/spaces/elfgk/diyabettahmin","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/elfgk.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null}},"created_at":"2024-12-22T23:36:13.000Z","updated_at":"2025-01-12T18:35:52.000Z","dependencies_parsed_at":"2024-12-23T00:29:13.875Z","dependency_job_id":"ff880021-61e5-40d6-a8c9-75c055e51562","html_url":"https://github.com/elfgk/Diabetes-Data-Analysis","commit_stats":null,"previous_names":["elfgk/diabetes-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/elfgk/Diabetes-Data-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elfgk%2FDiabetes-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elfgk%2FDiabetes-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elfgk%2FDiabetes-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elfgk%2FDiabetes-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/elfgk","download_url":"https://codeload.github.com/elfgk/Diabetes-Data-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elfgk%2FDiabetes-Data-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":272982771,"owners_count":25025984,"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":"2025-08-31T02:00:09.071Z","response_time":79,"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":["analysis","data-analysis","diabetes-data-analysis","eda","jupiter-notebook"],"created_at":"2025-01-04T22:51:57.445Z","updated_at":"2025-08-31T12:43:32.232Z","avatar_url":"https://github.com/elfgk.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Diabetes Data Analysis\n\nThis project aims to analyze diabetes data and develop machine learning models for diabetes diagnosis. The analysis was performed using 768 samples and 8 features. Each feature is used to predict whether a person has diabetes or not.\nDataset: https://www.kaggle.com/datasets/shantanudhakadd/diabetes-dataset-for-beginners\n\n## Project Overview\n\n\n1. **Dataset Overview:**\n   - The dataset includes various features such as age, body mass index (BMI), glucose level, blood pressure, etc.\n\n2. **Data Cleaning:**\n   - Missing values handling, outlier detection, and normalization were performed.\n\n3. **Exploratory Data Analysis (EDA):**\n   - Visualizations and basic statistical analyses were conducted to understand the data better.\n\n4. **Modeling:**\n   - Various machine learning models (e.g., logistic regression, decision trees) were applied for diabetes diagnosis.\n\n5. **Model Evaluation:**\n   - Models were evaluated using accuracy, precision, recall, F1 score, and other metrics.\n\n## Libraries Used\n\n- `pandas`: For data manipulation and analysis.\n- `numpy`: For numerical computations.\n- `matplotlib` and `seaborn`: For data visualizations.\n- `sklearn`: For machine learning models and evaluation.\n\n## Getting Started\n\nTo get started with this project, follow these steps:\n\n1. Clone or download the repository:\n\n   ```bash\n   git clone https://github.com/username/repository_name.git\n   ```\n2. Install the required Python libraries:\n\n3. Open the diabetes_analysis.ipynb Jupyter notebook and follow the steps.\n\n\n\u003ch1 align=\"center\"\u003e 𓍢ִ໋☕️✧˚ ༘ ⋆ \u003c/h1\u003e\n\n\u003ch1\u003e Contact Me🧑‍💻: \u003c/h1\u003e\n\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-0A66C2?style=for-the-badge\u0026logo=linkedin\u0026logoColor=white)](https://www.linkedin.com/in/elfgk/)\n[![Stack Overflow](https://img.shields.io/badge/StackOverflow-FE7A16?style=for-the-badge\u0026logo=stackoverflow\u0026logoColor=white)](https://stackoverflow.com/users/27559679/elfgk)\n[![Hugging Face](https://img.shields.io/badge/HuggingFace-9C30FF?style=for-the-badge\u0026logo=huggingface\u0026logoColor=white)](https://huggingface.co/elfgk)\n[![Kaggle](https://img.shields.io/badge/Kaggle-20BEFF?style=for-the-badge\u0026logo=kaggle\u0026logoColor=white)](https://www.kaggle.com/elfgkk)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felfgk%2Fdiabetes-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Felfgk%2Fdiabetes-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felfgk%2Fdiabetes-data-analysis/lists"}