{"id":28456724,"url":"https://github.com/balaka-18/svm_visual_tool","last_synced_at":"2025-06-29T10:30:52.480Z","repository":{"id":50614490,"uuid":"291395644","full_name":"BALaka-18/SVM_Visual_Tool","owner":"BALaka-18","description":"A simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.","archived":false,"fork":false,"pushed_at":"2020-09-23T22:59:02.000Z","size":21,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-06T23:08:38.706Z","etag":null,"topics":["decision-boundary","decision-boundary-visualizations","svm","svm-classifier","svm-learning","webapp"],"latest_commit_sha":null,"homepage":"","language":"Python","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}},"created_at":"2020-08-30T03:53:31.000Z","updated_at":"2024-05-25T08:00:05.000Z","dependencies_parsed_at":"2022-09-24T15:51:26.855Z","dependency_job_id":null,"html_url":"https://github.com/BALaka-18/SVM_Visual_Tool","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/BALaka-18/SVM_Visual_Tool","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BALaka-18%2FSVM_Visual_Tool","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BALaka-18%2FSVM_Visual_Tool/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BALaka-18%2FSVM_Visual_Tool/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BALaka-18%2FSVM_Visual_Tool/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BALaka-18","download_url":"https://codeload.github.com/BALaka-18/SVM_Visual_Tool/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BALaka-18%2FSVM_Visual_Tool/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262577687,"owners_count":23331468,"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":["decision-boundary","decision-boundary-visualizations","svm","svm-classifier","svm-learning","webapp"],"created_at":"2025-06-06T23:08:41.621Z","updated_at":"2025-06-29T10:30:52.471Z","avatar_url":"https://github.com/BALaka-18.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SVM VISUAL TOOL : A VISUALIZATION TOOL TO HELP STUDENTS UNDERSTAND SUPPORT VECTOR MACHINES BETTER.\n\nVISIT THE WEB APP HERE : [Welcome to the SVM Visual Tool(SVM VT)](https://svm-main.herokuapp.com/)\n\nYOUTUBE VIDEO LINK : [Watch it here - Support Vector Machine Visualizer](https://www.youtube.com/watch?v=LYzz-CHEXD0)\n\nSupport Vector Machines is one of the most famous supervised learning algorithms in Data Science.\nHowever, understanding how hyperparameters can affect the performance of this algorithm is quite tricky for a beginner.\n\nWhen I had started learning SVM, I had found it difficult to imagine or picturize how the decision boundary and threshold lines change when I change the values of the hyperparameters or switch between kernels.\n\nSo, I decided to make a simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.\n\n### About the web app :\nThe web app consists of two pages :\n\n1. The HOME page : The home page is basically the gateway to the visual tool. It also consists a link that redirects the user to blogs on SVM, in case the user wants to have a short read.\n\nHOME PAGE SCREENSHOT :\n\n![Screenshot (349)](https://user-images.githubusercontent.com/49288068/94067686-de8b7c00-fe0b-11ea-9522-14f3a09e98e2.png)\n\n2. The main page : The SVM VISUAL TOOL\n\nThis page contains the main plot that is generated upon changing the settings below the plot on the left hand side.\n\nTHE PLOTS :\n\n![Screenshot (350)](https://user-images.githubusercontent.com/49288068/94067700-e3503000-fe0b-11ea-8cf5-85d8449358e6.png)\n\nTHE CONTROLS AND THE SHORT NOTES TO EXPLAIN THE HYPERPARAMETERS :\n\n![Screenshot (351)](https://user-images.githubusercontent.com/49288068/94067718-e814e400-fe0b-11ea-8a4b-c8be6819846e.png)\n\nTech stack :\nFrontend : HTML, CSS, Bootstrap, Flask.\n\nBackend : Dash, Python.\n\n________________________________________________________________________________________________________________________________________________________________________________\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbalaka-18%2Fsvm_visual_tool","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbalaka-18%2Fsvm_visual_tool","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbalaka-18%2Fsvm_visual_tool/lists"}