{"id":15195668,"url":"https://github.com/grindelfp/linear-regression-study","last_synced_at":"2026-03-05T07:01:23.866Z","repository":{"id":227072339,"uuid":"770354121","full_name":"GrindelfP/linear-regression-study","owner":"GrindelfP","description":"Examples of linear regression.","archived":false,"fork":false,"pushed_at":"2024-03-23T18:16:37.000Z","size":595,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-02T04:29:27.557Z","etag":null,"topics":["ipynb-notebook","linear-regression","mlda"],"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/GrindelfP.png","metadata":{"files":{"readme":"README.adoc","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}},"created_at":"2024-03-11T12:06:57.000Z","updated_at":"2024-03-11T12:36:27.000Z","dependencies_parsed_at":"2024-09-11T12:43:30.849Z","dependency_job_id":null,"html_url":"https://github.com/GrindelfP/linear-regression-study","commit_stats":null,"previous_names":["grindelfp/linear-regression-study"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/GrindelfP/linear-regression-study","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GrindelfP%2Flinear-regression-study","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GrindelfP%2Flinear-regression-study/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GrindelfP%2Flinear-regression-study/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GrindelfP%2Flinear-regression-study/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/GrindelfP","download_url":"https://codeload.github.com/GrindelfP/linear-regression-study/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GrindelfP%2Flinear-regression-study/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30113110,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-05T03:40:26.266Z","status":"ssl_error","status_checked_at":"2026-03-05T03:39:15.902Z","response_time":93,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":["ipynb-notebook","linear-regression","mlda"],"created_at":"2024-09-27T23:43:11.885Z","updated_at":"2026-03-05T07:01:23.625Z","avatar_url":"https://github.com/GrindelfP.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"= Linear regression study =\n\n== Description ==\n\nThis task is divided in two parts. \n\n- first is dedicated to studying the theory of Linear Regression based on https://habr.com/ru/articles/672540/:[this Habr article];\n- second part is to be done oneself and be alike the code of the first part, but there is different dataset to be processed.\n\n== Given task ==\n\n1. Study the article\n2. Repeat all stages of work in your own notepad (including formulas (text cells) and graphs)\n3. Accompany code with comments\n4. Come up with your own data set alike the article\n5. Implement the entire process described in the article with your own data set\n6. Check your result coefficints using the sklearn library (LinearRegression)\n7. Write conclusions about the work done\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgrindelfp%2Flinear-regression-study","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgrindelfp%2Flinear-regression-study","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgrindelfp%2Flinear-regression-study/lists"}