{"id":31374823,"url":"https://github.com/gilbertmunuotz/ipt-roadmap","last_synced_at":"2026-02-17T19:01:23.931Z","repository":{"id":312165180,"uuid":"1046554757","full_name":"gilbertmunuotz/IPT-Roadmap","owner":"gilbertmunuotz","description":"My personal roadmap and progress tracker for becoming a ML Engineer.","archived":false,"fork":false,"pushed_at":"2025-09-22T14:54:58.000Z","size":28,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-22T16:35:21.473Z","etag":null,"topics":["ai","data-science","learning-resources","ml","roadmap"],"latest_commit_sha":null,"homepage":"","language":null,"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/gilbertmunuotz.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}},"created_at":"2025-08-28T21:27:23.000Z","updated_at":"2025-09-22T14:47:14.000Z","dependencies_parsed_at":"2025-08-29T03:48:04.211Z","dependency_job_id":"49f9d6aa-08ef-4a04-b295-e701f92b3735","html_url":"https://github.com/gilbertmunuotz/IPT-Roadmap","commit_stats":null,"previous_names":["gilbertmunuotz/ipt-roadmap"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/gilbertmunuotz/IPT-Roadmap","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gilbertmunuotz%2FIPT-Roadmap","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gilbertmunuotz%2FIPT-Roadmap/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gilbertmunuotz%2FIPT-Roadmap/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gilbertmunuotz%2FIPT-Roadmap/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gilbertmunuotz","download_url":"https://codeload.github.com/gilbertmunuotz/IPT-Roadmap/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gilbertmunuotz%2FIPT-Roadmap/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29554376,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-17T18:16:07.221Z","status":"ssl_error","status_checked_at":"2026-02-17T18:16:04.782Z","response_time":100,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 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":["ai","data-science","learning-resources","ml","roadmap"],"created_at":"2025-09-28T00:56:51.631Z","updated_at":"2026-02-17T19:01:23.916Z","avatar_url":"https://github.com/gilbertmunuotz.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 ML Engineer Journey – IPT Studies\n\nWelcome to my personal roadmap and progress tracker for becoming a **ML Engineer**.  \nThis repository documents my daily learning, practice, and projects as part of my **Industrial Practical Training (IPT)** August 2025 and self-study journey.\n\n## 🚀 About This Repo\n\n- 📌 Tracks my **day-by-day progress** in data science\n- 🧑‍💻 Includes notes, exercises, and practice code\n- 📚 Covers essential topics like:\n  - Python programming\n  - Data analysis\n  - Machine learning\n  - Data visualization\n  - Statistics \u0026 mathematics foundations\n\n## 🗂️ Branch Structure\n\nEach day of my learning has its own branch:\n\n- `Day-1` → [IPT Papers \u0026 Day 1 Notes]\n- `Day-2` → (to be added…)\n- `Day-3` → (to be added…)\n\nThe `main` branch contains this README file.\n\n## 🎯 Goals\n\n1. Build strong foundations in **Python** and **statistics**\n2. Learn and apply **machine learning algorithms**\n3. Work on **real-world projects**\n4. Document everything for consistency \u0026 accountability\n\n## 🤝 Contributing\n\nThis is my personal learning journey, but if you have suggestions, resources, or improvements, feel free to **open an issue or PR**.\n\n## 📬 Connect With Me\n\n- GitHub: [@gilbertmunuotz](https://github.com/gilbertmunuotz)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgilbertmunuotz%2Fipt-roadmap","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgilbertmunuotz%2Fipt-roadmap","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgilbertmunuotz%2Fipt-roadmap/lists"}