{"id":28456734,"url":"https://github.com/balaka-18/svm-series","last_synced_at":"2025-09-26T14:14:00.396Z","repository":{"id":296130324,"uuid":"279066162","full_name":"BALaka-18/SVM-Series","owner":"BALaka-18","description":"A series of notebooks on Support Vector Machine algorithm","archived":false,"fork":false,"pushed_at":"2020-07-19T22:50:22.000Z","size":7050,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-29T10:39:22.521Z","etag":null,"topics":["binary-classification","supervised-learning","svm","svm-training"],"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/BALaka-18.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":"2020-07-12T13:05:54.000Z","updated_at":"2023-08-16T00:54:01.000Z","dependencies_parsed_at":"2025-05-29T05:11:51.245Z","dependency_job_id":"ec7baf9d-19b2-443f-a01d-5c7cc6063710","html_url":"https://github.com/BALaka-18/SVM-Series","commit_stats":null,"previous_names":["balaka-18/svm-series"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/BALaka-18/SVM-Series","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BALaka-18%2FSVM-Series","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BALaka-18%2FSVM-Series/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BALaka-18%2FSVM-Series/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BALaka-18%2FSVM-Series/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BALaka-18","download_url":"https://codeload.github.com/BALaka-18/SVM-Series/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BALaka-18%2FSVM-Series/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263692913,"owners_count":23496944,"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":["binary-classification","supervised-learning","svm","svm-training"],"created_at":"2025-06-06T23:08:41.858Z","updated_at":"2025-09-26T14:13:55.358Z","avatar_url":"https://github.com/BALaka-18.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SVM Series\nA series of notebooks on Support Vector Machine algorithm\n\nNotebook 1 : Notebook on Support Vector Machine(SVM) Geometric intuition : which is a better classifying plane / line ?\n________________________________________________________________________________________________________________________________________________________________________________\n\nNotebook 2 : Notebook on applying SVM on the Indian Diabetes Dataset to find the best value of C for which accuracy is the highest.\n\n![image](https://user-images.githubusercontent.com/49288068/87575194-2a73c380-c6ed-11ea-9175-30cd0da18306.png)\n________________________________________________________________________________________________________________________________________________________________________________\n\nNotebook 3 : Notebook to visualize the decision boundary hyperplane of SVM algorithm, for both linearly separable and non-linearly separable data.\n\nLINEARLY SEPARABLE SAMPLE DATA :\n\n![Screenshot (223)](https://user-images.githubusercontent.com/49288068/87726936-9c2b3a80-c7dd-11ea-8fc6-ce6941d82621.png)\n\nNON-LINEARLY SEPARABLE SAMPLE DATA :\n\n1. Linear kernel\n\n![Screenshot (231)](https://user-images.githubusercontent.com/49288068/87887070-5b326080-ca3f-11ea-9c72-aa769ef4ac11.png)\n\n2. Polynomial kernel with default degree = 3\n\n![Screenshot (232)](https://user-images.githubusercontent.com/49288068/87887072-5bcaf700-ca3f-11ea-8bfe-23402bfc6214.png)\n\n3. Polynomial kernel with degree = 2\n\n![Screenshot (235)](https://user-images.githubusercontent.com/49288068/87887118-edd2ff80-ca3f-11ea-9c9f-6e3813a60b59.png)\n\n4. Rbf kernel\n\n![Screenshot (233)](https://user-images.githubusercontent.com/49288068/87887073-5c638d80-ca3f-11ea-9a1d-f9641b94bb3f.png)\n\n5. Gaussian RBF kernel in 3D space\n\n![Screenshot (234)](https://user-images.githubusercontent.com/49288068/87887069-59689d00-ca3f-11ea-9f63-196e8c01cc11.png)\n________________________________________________________________________________________________________________________________________________________________________________\n\nNotebook 4 : Notebook to find out the best hyperparameters for a SVC working on the very popular Breast Cancer dataset\n\n![Screenshot (229)](https://user-images.githubusercontent.com/49288068/87879758-4a1b2c80-ca0a-11ea-8ee5-acf6eda8bac1.png)\n________________________________________________________________________________________________________________________________________________________________________________\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbalaka-18%2Fsvm-series","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbalaka-18%2Fsvm-series","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbalaka-18%2Fsvm-series/lists"}