{"id":20310360,"url":"https://github.com/ujblockchain/python_linearregression","last_synced_at":"2026-05-02T08:32:27.901Z","repository":{"id":222625692,"uuid":"756727872","full_name":"ujblockchain/python_linearregression","owner":"ujblockchain","description":"Linear Regression of Uber and Lyft ride-hailing data","archived":false,"fork":false,"pushed_at":"2024-02-15T09:39:46.000Z","size":2497,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-04T08:13:04.984Z","etag":null,"topics":["linear-regression","python"],"latest_commit_sha":null,"homepage":"https://blockchain.uj.ac..za","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/ujblockchain.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,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2024-02-13T07:30:57.000Z","updated_at":"2024-02-28T07:36:42.000Z","dependencies_parsed_at":"2024-02-15T10:44:25.427Z","dependency_job_id":null,"html_url":"https://github.com/ujblockchain/python_linearregression","commit_stats":null,"previous_names":["ujblockchain/pathon_linearregression"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ujblockchain/python_linearregression","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ujblockchain%2Fpython_linearregression","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ujblockchain%2Fpython_linearregression/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ujblockchain%2Fpython_linearregression/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ujblockchain%2Fpython_linearregression/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ujblockchain","download_url":"https://codeload.github.com/ujblockchain/python_linearregression/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ujblockchain%2Fpython_linearregression/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32528223,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-02T01:12:54.858Z","status":"online","status_checked_at":"2026-05-02T02:00:05.923Z","response_time":132,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["linear-regression","python"],"created_at":"2024-11-14T17:31:26.337Z","updated_at":"2026-05-02T08:32:27.881Z","avatar_url":"https://github.com/ujblockchain.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"![image info](https://blockchain.uj.ac.za/static/images/main-logo.png)\n\n# SARChI - Python: Linear Regression\nSouth Africa-Switzerland Bilateral Research Chair in Blockchain Technology aims to explore blockchain integrations with real-world applications and development in Agric-food.\n\n## Context\nAs a research center, our focus is more than just blockchain technology, but we have expertise in web development, data analysis, data science, and machine learning development. In this repository, look at a popular algorithm used in machine learning solutions, regression. We introduce **linear regression** and the mathematics behind the algorithm. We use the fundamental gained from our [Machine Learning with Python](https://youtube.com/playlist?list=PLYAUzWboAWPgPbusvNP1vBEHMM_HeOne5\u0026si=_z1VLO3O_7vmCnZ7), and apply linear regression to determine the price of an Uber/Lyft trip. \n\n## Dataset\nThe dataset used for the linear regression demonstration is [Uber \u0026 Lyft Cab Prices](https://www.kaggle.com/datasets/ravi72munde/uber-lyft-cab-prices). \n\n## Methods\nIn the notebook, we analyse Uber and Lyft ride-hailing data from Boston, United States of America. Prices of ride hailing services fluctuate regularly due to factors such like demand-bursts or availability constraints, therefore we dive into the dataset to uncover relationships that influence the price of a trip. \n\n\n## Resources\n- [linear Regression Using R: An Introduction to Data Modelling](https://stats.libretexts.org/Bookshelves/Computing_and_Modeling/Book%3A_Linear_Regression_Using_R_-_An_Introduction_to_Data_Modeling_(Lilja))\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fujblockchain%2Fpython_linearregression","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fujblockchain%2Fpython_linearregression","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fujblockchain%2Fpython_linearregression/lists"}