{"id":16087496,"url":"https://github.com/linqlover/hpi-ai-teaching-linear-regression","last_synced_at":"2025-04-05T15:23:28.587Z","repository":{"id":115793566,"uuid":"221442351","full_name":"LinqLover/hpi-ai-teaching-linear-regression","owner":"LinqLover","description":"Exercise and examples of a simple linear regression implementation","archived":false,"fork":false,"pushed_at":"2019-12-19T11:06:15.000Z","size":13,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-11T12:19:33.336Z","etag":null,"topics":["linear-regression","linear-regression-python","machine-learning","machine-learning-algorithms","math"],"latest_commit_sha":null,"homepage":"","language":"C","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/LinqLover.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":"2019-11-13T11:21:13.000Z","updated_at":"2020-01-07T15:10:26.000Z","dependencies_parsed_at":null,"dependency_job_id":"a2b2b911-7b58-4f4b-8fcd-272f248ba70e","html_url":"https://github.com/LinqLover/hpi-ai-teaching-linear-regression","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LinqLover%2Fhpi-ai-teaching-linear-regression","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LinqLover%2Fhpi-ai-teaching-linear-regression/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LinqLover%2Fhpi-ai-teaching-linear-regression/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LinqLover%2Fhpi-ai-teaching-linear-regression/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LinqLover","download_url":"https://codeload.github.com/LinqLover/hpi-ai-teaching-linear-regression/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247355126,"owners_count":20925558,"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":["linear-regression","linear-regression-python","machine-learning","machine-learning-algorithms","math"],"created_at":"2024-10-09T13:29:54.119Z","updated_at":"2025-04-05T15:23:28.568Z","avatar_url":"https://github.com/LinqLover.png","language":"C","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI teaching: Linear Regression\n\nMaterials for a lecture read by [Andrea Nathansen](https://github.com/AndreaNathansen) and [Christoph Thiede](https://github.com/LinqLover) at HPI, supervised by Timo Kötzing and Martin Schirneck.\n\n## Let’s go!\n\nTo start working with this repository, start with this link:\n\nhttp://gitpod.io/#https://github.com/LinqLover/hpi-ai-teaching-linear-regression \n\n1. Choose `gradient_descent.py` from the file pane on the left\n2. Type `python3 gradient_descent.py` into the console pane on the bottom\n3. Start coding! 🚀\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flinqlover%2Fhpi-ai-teaching-linear-regression","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flinqlover%2Fhpi-ai-teaching-linear-regression","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flinqlover%2Fhpi-ai-teaching-linear-regression/lists"}