{"id":27067061,"url":"https://github.com/1adityakadam/multi-model-car-acceptability-classification","last_synced_at":"2025-09-16T20:49:39.066Z","repository":{"id":261308808,"uuid":"883914455","full_name":"1adityakadam/Multi-Model-Car-Acceptability-Classification","owner":"1adityakadam","description":"A Machine Learning Approach for  Comparative Analysis of Logistic Regression, SVM, and Random Forest Techniques","archived":false,"fork":false,"pushed_at":"2025-03-24T22:06:42.000Z","size":331,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T19:40:02.155Z","etag":null,"topics":["ensemble-learning","multinomial-logistic-regression","random-forest","svm-model"],"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/1adityakadam.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":"2024-11-05T19:53:32.000Z","updated_at":"2025-03-24T22:13:21.000Z","dependencies_parsed_at":"2024-11-05T21:24:29.363Z","dependency_job_id":null,"html_url":"https://github.com/1adityakadam/Multi-Model-Car-Acceptability-Classification","commit_stats":null,"previous_names":["1adityakadam/multi-model-car-acceptability-classification"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/1adityakadam/Multi-Model-Car-Acceptability-Classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/1adityakadam%2FMulti-Model-Car-Acceptability-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/1adityakadam%2FMulti-Model-Car-Acceptability-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/1adityakadam%2FMulti-Model-Car-Acceptability-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/1adityakadam%2FMulti-Model-Car-Acceptability-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/1adityakadam","download_url":"https://codeload.github.com/1adityakadam/Multi-Model-Car-Acceptability-Classification/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/1adityakadam%2FMulti-Model-Car-Acceptability-Classification/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266473057,"owners_count":23934477,"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":"2025-07-22T02:00:09.085Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"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":["ensemble-learning","multinomial-logistic-regression","random-forest","svm-model"],"created_at":"2025-04-05T19:40:04.790Z","updated_at":"2025-09-16T20:49:34.025Z","avatar_url":"https://github.com/1adityakadam.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Car Classification using Multiple Machine Learning Models\n\nCar Classification dataset: \n\nhttps://www.kaggle.com/datasets/stealthtechnologies/car-evaluation-classification/code?datasetId=5908498\u0026sortBy=dateRun\u0026tab=profile\u0026excludeNonAccessedDatasources=false\n\nApplied models: \n- Multinomial Linear Regression, \n- SVM,\n- Random Forest\n- Ensemble\n\n\u003ca href='https://github.com/1adityakadam/Multi-Model-Car-Acceptability-Classification/edit/main/README.md#:~:text=Multi_Model_Car_Acceptability_Classification'\u003e\n\n  Car Classification using Machine Learning Models Workbook\n\n\u003cbr\u003e\n\n![image](https://github.com/user-attachments/assets/7073a760-8b66-4ed6-92a8-7b342add86a0) \n\n![image](https://github.com/user-attachments/assets/f34890b3-6bd2-4a54-a376-4ae4b0d730f2)\n\n\n![image](https://github.com/user-attachments/assets/c9ecc288-7e4c-4573-9598-21d0acce8322)\n\n![image](https://github.com/user-attachments/assets/83e78252-4b3f-4ad2-9c5b-9140ca5c33f0)\n\n\u003c/a\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F1adityakadam%2Fmulti-model-car-acceptability-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F1adityakadam%2Fmulti-model-car-acceptability-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F1adityakadam%2Fmulti-model-car-acceptability-classification/lists"}