{"id":20195819,"url":"https://github.com/amenferjani/iris","last_synced_at":"2026-02-16T14:33:13.996Z","repository":{"id":250327468,"uuid":"834136468","full_name":"Amenferjani/iris","owner":"Amenferjani","description":"This project is for the Identification of Iris flower species is presented","archived":false,"fork":false,"pushed_at":"2024-07-26T14:48:52.000Z","size":5,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-25T09:59:26.030Z","etag":null,"topics":["basic-ml-project","iris","iris-classification","machine-learning","mlbasic","predic","python","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Python","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/Amenferjani.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":"2024-07-26T13:50:56.000Z","updated_at":"2024-09-24T00:32:57.000Z","dependencies_parsed_at":null,"dependency_job_id":"493bf61e-3d13-4f5c-92a6-f9c2a52048ba","html_url":"https://github.com/Amenferjani/iris","commit_stats":null,"previous_names":["amenferjani/iris"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Amenferjani/iris","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amenferjani%2Firis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amenferjani%2Firis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amenferjani%2Firis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amenferjani%2Firis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Amenferjani","download_url":"https://codeload.github.com/Amenferjani/iris/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Amenferjani%2Firis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29510196,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-16T09:05:14.864Z","status":"ssl_error","status_checked_at":"2026-02-16T08:55:59.364Z","response_time":115,"last_error":"SSL_read: 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":["basic-ml-project","iris","iris-classification","machine-learning","mlbasic","predic","python","pytorch"],"created_at":"2024-11-14T04:19:16.796Z","updated_at":"2026-02-16T14:33:13.978Z","avatar_url":"https://github.com/Amenferjani.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# IRIS-Flower-classification\n\n\u003cimg src=\"https://miro.medium.com/max/875/1*7bnLKsChXq94QjtAiRn40w.png\"\u003e\n\nThis Project is thorugh application of machine learning with python programming.\nIt focuses on IRIS flower classification using Machine Learning with scikit tools. \nHere some of algorithm are used that are some types of machine learning subparts algorithms of supervised and Unsupervised learning.\nAlgorithm used for predicting and get accuracy are -\n1. Dicision tree classifier \n2. K nearest classifier\n3. SVM\n4. Logistic Regression \n5. metrics\n6. train_test_split\nWe are making accuracy and prediction in Iris project through Iris Dataset.\nThis is easy and understable for machine learning staters( Naive ).\n\npip install torch \ngit clone https://github.com/Amenferjani/iris.git\ncd iris\n\n\nPS: Please do not forget to drop a star if you like it!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famenferjani%2Firis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famenferjani%2Firis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famenferjani%2Firis/lists"}