{"id":14977144,"url":"https://github.com/jubinjacob03/heartdiseaseclassify-ml","last_synced_at":"2026-01-18T11:48:47.229Z","repository":{"id":177518192,"uuid":"657756082","full_name":"jubinjacob03/HeartDiseaseClassify-ML","owner":"jubinjacob03","description":"Heart Disease Dataset Analysis \u0026 Classification using  ML models such as linear, support vector machine, k-means, k-nearest neighbors and logistic regression.","archived":false,"fork":false,"pushed_at":"2024-06-15T09:31:49.000Z","size":2217,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-12T21:27:58.574Z","etag":null,"topics":["data-analysis","data-science","data-visualization","ipython-notebook","kaggle-dataset","kmeans","knn","linear-regression","logistic-regression","machine-learning","matplotlib","python","seaborn","support-vector-machine"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jubinjacob03.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}},"created_at":"2023-06-23T19:22:24.000Z","updated_at":"2024-07-12T21:20:15.000Z","dependencies_parsed_at":null,"dependency_job_id":"507e8cfe-88ec-47ae-8833-3f0a2c8ab8a6","html_url":"https://github.com/jubinjacob03/HeartDiseaseClassify-ML","commit_stats":null,"previous_names":["jubinjacob03/heartdiseaseclassify-ml"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jubinjacob03%2FHeartDiseaseClassify-ML","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jubinjacob03%2FHeartDiseaseClassify-ML/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jubinjacob03%2FHeartDiseaseClassify-ML/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jubinjacob03%2FHeartDiseaseClassify-ML/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jubinjacob03","download_url":"https://codeload.github.com/jubinjacob03/HeartDiseaseClassify-ML/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247501155,"owners_count":20949011,"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-analysis","data-science","data-visualization","ipython-notebook","kaggle-dataset","kmeans","knn","linear-regression","logistic-regression","machine-learning","matplotlib","python","seaborn","support-vector-machine"],"created_at":"2024-09-24T13:55:11.424Z","updated_at":"2026-01-18T11:48:47.214Z","avatar_url":"https://github.com/jubinjacob03.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# HeartDiseaseClassify-ML\nHeart Disease Dataset Analysis \u0026amp; Classification using  Machine Learning models such as linear regression, support vector machine, k-means, k-nearest neighbors and logistic regression  to predict cardiac diseases.\n\n# Main Branch\n- This branch contains all files for both branches [heartD-1](https://github.com/jubinjacob03/HeartDiseaseClassify-ML/tree/heartD-1) \u0026 [heartD-2](https://github.com/jubinjacob03/HeartDiseaseClassify-ML/tree/heartD-2)\n- Machine Learning with different Regressions on different Dataset\n- Branch \u003cem\u003eheartD-1 \n\u003c/em\u003e -\n\n      HD_Linear-Reg.ipynb: Jupyter Notebook file with python code.\n      Heart Disease.csv: Dataset of Heart Disease in which Machine Learning was performed.\n      heartD-1_singlecodefile.py: Single .py file which contains all python codes from notebook file (for easy copying of codes).\n\n- Branch \u003cem\u003eheartD-2 \n\u003c/em\u003e -\n\n      HD2_Logistic,KNN,SVM-Reg.ipynb: Jupyter Notebook file with python code.\n      heart disease classification dataset.csv: Dataset of Heart Disease in which Machine Learning was performed.\n      heartD-2_singlecodefile.py: Single .py file which contains all python codes from notebook file (for easy copying of codes).\n\n\n\n# Setup and Running\n\n- Install Any IDE which supports .ipynb and .py format.\n- Import the .iypnb file along with dataset for respective branch (Check branch details to understand file structure for [each branch](#main-branch))\n- Recommended IDE is [Jupyter Notebook](https://jupyter.org/), you can also use [Visual Studio Code](https://code.visualstudio.com/).\n- If you are unable to import .iypnb file or the file is not supported. Then create a new .iypnb file.\n- Copy the codes line by line from the singlecodefile.py for the respective Dataset and Notebook file. \n\n# Help and Reference\n\n- Handling [.ipynb](https://fileinfo.com/extension/ipynb) files.\n- About [Machine Learning](https://www.ibm.com/topics/machine-learning).\n- Info about [Numpy, Pandas, matplotlib, SciKit-Learn](https://towardsdatascience.com/top-5-machine-learning-libraries-in-python-e36e3e0e02af).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjubinjacob03%2Fheartdiseaseclassify-ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjubinjacob03%2Fheartdiseaseclassify-ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjubinjacob03%2Fheartdiseaseclassify-ml/lists"}