{"id":20295108,"url":"https://github.com/agnjason/regression-model","last_synced_at":"2026-06-09T05:05:29.508Z","repository":{"id":211544995,"uuid":"236892008","full_name":"agnJason/Regression-model","owner":"agnJason","description":"实现多种回归模型","archived":false,"fork":false,"pushed_at":"2020-01-29T03:03:08.000Z","size":142,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-04T05:31:52.286Z","etag":null,"topics":["lasso-regression","linear-regression","logistic-regression","regression-models"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/agnJason.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":"2020-01-29T03:00:36.000Z","updated_at":"2020-10-28T09:55:30.000Z","dependencies_parsed_at":null,"dependency_job_id":"444b176e-92f4-49be-afcc-6b6d5e40bbe8","html_url":"https://github.com/agnJason/Regression-model","commit_stats":null,"previous_names":["agnjason/regression-model"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/agnJason/Regression-model","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agnJason%2FRegression-model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agnJason%2FRegression-model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agnJason%2FRegression-model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agnJason%2FRegression-model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/agnJason","download_url":"https://codeload.github.com/agnJason/Regression-model/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agnJason%2FRegression-model/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34092319,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-09T02:00:06.510Z","response_time":63,"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":["lasso-regression","linear-regression","logistic-regression","regression-models"],"created_at":"2024-11-14T15:33:11.367Z","updated_at":"2026-06-09T05:05:29.494Z","avatar_url":"https://github.com/agnJason.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Regression-model\n实现多种回归模型\n一、简介\n在统计学中，回归分析（regression analysis）指的是确定两种或两种以上变量间相互依赖的定量关系的一种统计分析方法。回归分析按照涉及的变量的多少，分为一元回归和多元回归分析；按照因变量的多少，可分为简单回归分析和多重回归分析；按照自变量和因变量之间的关系类型，可分为线性回归分析和非线性回归分析。在大数据分析中，回归分析是一种预测性的建模技术，它研究的是因变量（目标）和自变量（预测器）之间的关系。这种技术通常用于预测分析，时间序列模型以及发现变量之间的因果关系。\n课程中介绍了常见的一些回归分析方法，包括：\n一元线性回归，多元线性回归，逻辑回归，局部回归，岭回归，LASSO回归等。\n二、数据与问题\n利用网络爬虫或者下载已公布的数据集，实现上课介绍的几类基本算法，并比较各种算法的性能。\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagnjason%2Fregression-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fagnjason%2Fregression-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagnjason%2Fregression-model/lists"}