{"id":27650152,"url":"https://github.com/kgourgou/linear-perceptron","last_synced_at":"2025-07-18T01:35:51.803Z","repository":{"id":24782431,"uuid":"28196016","full_name":"kgourgou/Linear-Perceptron","owner":"kgourgou","description":"An IPython notebook with an implementation of the linear perceptron algorithm. ","archived":false,"fork":false,"pushed_at":"2017-04-21T02:26:32.000Z","size":486,"stargazers_count":3,"open_issues_count":0,"forks_count":4,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-24T03:33:09.336Z","etag":null,"topics":["algorithm","machine-learning","tutorial"],"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/kgourgou.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":"2014-12-18T18:28:39.000Z","updated_at":"2023-05-24T17:51:53.000Z","dependencies_parsed_at":"2022-08-22T16:50:12.605Z","dependency_job_id":null,"html_url":"https://github.com/kgourgou/Linear-Perceptron","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kgourgou/Linear-Perceptron","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kgourgou%2FLinear-Perceptron","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kgourgou%2FLinear-Perceptron/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kgourgou%2FLinear-Perceptron/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kgourgou%2FLinear-Perceptron/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kgourgou","download_url":"https://codeload.github.com/kgourgou/Linear-Perceptron/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kgourgou%2FLinear-Perceptron/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265688344,"owners_count":23811417,"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":["algorithm","machine-learning","tutorial"],"created_at":"2025-04-24T03:28:47.661Z","updated_at":"2025-07-18T01:35:51.767Z","avatar_url":"https://github.com/kgourgou.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Playing around with the (linear) Perceptron algorithm \n\nThe linear [perceptron](http://en.wikipedia.org/wiki/Perceptron#Learning_algorithm) is one of the most basic ideas in machine learning and can be used for classification of data points according to different features.\n\nThis IPython notebook includes an implementation of this algorithm.\n\nIt's fun and perfect for hacking around.\n\nReference : [Learning From Data](https://work.caltech.edu/telecourse.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkgourgou%2Flinear-perceptron","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkgourgou%2Flinear-perceptron","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkgourgou%2Flinear-perceptron/lists"}