{"id":30767935,"url":"https://github.com/sureshbeekhani/machine-learning-algorithms","last_synced_at":"2026-04-28T21:34:27.733Z","repository":{"id":310098118,"uuid":"807435350","full_name":"SURESHBEEKHANI/Machine-Learning-Algorithms","owner":"SURESHBEEKHANI","description":"A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.","archived":false,"fork":false,"pushed_at":"2025-08-16T04:31:51.000Z","size":7326,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-04T20:27:33.462Z","etag":null,"topics":["dataanalysis","datascience","featurescaling","linearregression","machinelearning","matplotlib","numpy","pandas","python","seaborn"],"latest_commit_sha":null,"homepage":"","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/SURESHBEEKHANI.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2024-05-29T05:22:33.000Z","updated_at":"2025-08-16T04:31:54.000Z","dependencies_parsed_at":null,"dependency_job_id":"3218db61-bf1a-4407-9f11-6444ad74982f","html_url":"https://github.com/SURESHBEEKHANI/Machine-Learning-Algorithms","commit_stats":null,"previous_names":["sureshbeekhani/machine-learning-algorithms"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SURESHBEEKHANI/Machine-Learning-Algorithms","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FMachine-Learning-Algorithms","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FMachine-Learning-Algorithms/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FMachine-Learning-Algorithms/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FMachine-Learning-Algorithms/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SURESHBEEKHANI","download_url":"https://codeload.github.com/SURESHBEEKHANI/Machine-Learning-Algorithms/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FMachine-Learning-Algorithms/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32400866,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T19:38:08.556Z","status":"ssl_error","status_checked_at":"2026-04-28T19:37:55.688Z","response_time":56,"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":["dataanalysis","datascience","featurescaling","linearregression","machinelearning","matplotlib","numpy","pandas","python","seaborn"],"created_at":"2025-09-04T20:15:32.617Z","updated_at":"2026-04-28T21:34:27.729Z","avatar_url":"https://github.com/SURESHBEEKHANI.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Algorithms 📘\n\nThis repository is a **learning and practice collection** of core machine learning algorithms.  \nIt contains implementations, experiments, and examples of both **regression** and **classification** techniques.\n\n---\n\n## 📂 Repository Structure\n- **Regression/**\n  - Linear Regression  \n  - Polynomial Regression  \n  - Ridge \u0026 Lasso Regression  \n  - Other regression models  \n\n- **Classification/**\n  - Logistic Regression  \n  - Decision Trees  \n  - Random Forest  \n  - KNN, SVM, Naive Bayes  \n  - Other classification models  \n\n---\n\n## 🚀 Tech Stack\n- **Language:** Python  \n- **Libraries:** NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn  \n\n---\n\n   git clone https://github.com/SURESHBEEKHANI/Machine-Learning-Algorithms.git\n   cd Machine-Learning-Algorithms\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsureshbeekhani%2Fmachine-learning-algorithms","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsureshbeekhani%2Fmachine-learning-algorithms","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsureshbeekhani%2Fmachine-learning-algorithms/lists"}