{"id":16420163,"url":"https://github.com/geekquad/svm-classification-from-scratch","last_synced_at":"2026-05-16T00:02:20.673Z","repository":{"id":110635512,"uuid":"272969928","full_name":"geekquad/SVM-Classification-from-Scratch","owner":"geekquad","description":"A basic project to build the classification model with SVM (Support Vector Machine)","archived":false,"fork":false,"pushed_at":"2020-06-18T11:24:12.000Z","size":59,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-24T16:16:49.187Z","etag":null,"topics":["scratch","sklearn","sklearn-svm","svm-classifier","svm-kernel","svm-model"],"latest_commit_sha":null,"homepage":null,"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/geekquad.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":"2020-06-17T12:36:54.000Z","updated_at":"2020-06-18T11:24:14.000Z","dependencies_parsed_at":"2023-04-01T09:18:19.044Z","dependency_job_id":null,"html_url":"https://github.com/geekquad/SVM-Classification-from-Scratch","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/geekquad/SVM-Classification-from-Scratch","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geekquad%2FSVM-Classification-from-Scratch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geekquad%2FSVM-Classification-from-Scratch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geekquad%2FSVM-Classification-from-Scratch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geekquad%2FSVM-Classification-from-Scratch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/geekquad","download_url":"https://codeload.github.com/geekquad/SVM-Classification-from-Scratch/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geekquad%2FSVM-Classification-from-Scratch/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33085077,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-15T20:25:35.270Z","status":"ssl_error","status_checked_at":"2026-05-15T20:25:34.732Z","response_time":103,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["scratch","sklearn","sklearn-svm","svm-classifier","svm-kernel","svm-model"],"created_at":"2024-10-11T07:27:06.098Z","updated_at":"2026-05-16T00:02:20.634Z","avatar_url":"https://github.com/geekquad.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SVM-Classification-from-Scratch\nA basic project to build the classification model with SVM (Support Vector Machine).\nAt first approximation, SVM finds a seperating line, more generally called a hyperplane between data of the two classes. \nSupport Vector Machine (SVM) is a powerful tool of supervised learning. We can use it to make classification and regression analysis.\n\u003cimg src=\"https://miro.medium.com/max/6400/1*tYZ8_SodwSUPJTuWQs-CoA.jpeg\" style=\"width:200px;height:200px;\"\u003e\n\u003ch3\u003eParameters Tuning: \u003c/h3\u003e\n\u003cp\u003e Parameters are arguments passed when we create our classifier. \u003c/p\u003e\n\u003cp\u003e In SVM, we have basically three parameters: \u003c/p\u003e\n\u003cul\u003e\n  \u003cli\u003e Kernel \u003c/li\u003e\n  \u003cli\u003e C (regularization factor) \u003c/li\u003e\n  \u003cli\u003e Gamma (Γ) \u003c/li\u003e \u003c/ul\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeekquad%2Fsvm-classification-from-scratch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgeekquad%2Fsvm-classification-from-scratch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeekquad%2Fsvm-classification-from-scratch/lists"}