{"id":49396457,"url":"https://github.com/catcoder27/ai-portfolio","last_synced_at":"2026-04-28T16:01:59.841Z","repository":{"id":312293689,"uuid":"1047013002","full_name":"CatCoder27/ai-portfolio","owner":"CatCoder27","description":"Reusable ML scaffold: notebooks, model cards, reports","archived":false,"fork":false,"pushed_at":"2025-08-29T15:42:30.000Z","size":6,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-29T18:38:02.280Z","etag":null,"topics":["data-science","kaggle","machine-learning","pandas","scikit-learn"],"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/CatCoder27.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":"2025-08-29T15:40:55.000Z","updated_at":"2025-08-29T15:43:53.000Z","dependencies_parsed_at":"2025-08-29T18:38:03.365Z","dependency_job_id":"689ed73c-50f6-4614-8156-f4f2d2e528de","html_url":"https://github.com/CatCoder27/ai-portfolio","commit_stats":null,"previous_names":["catcoder27/ai-portfolio"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/CatCoder27/ai-portfolio","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CatCoder27%2Fai-portfolio","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CatCoder27%2Fai-portfolio/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CatCoder27%2Fai-portfolio/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CatCoder27%2Fai-portfolio/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CatCoder27","download_url":"https://codeload.github.com/CatCoder27/ai-portfolio/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CatCoder27%2Fai-portfolio/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32387923,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T14:34:11.604Z","status":"ssl_error","status_checked_at":"2026-04-28T14:32:37.009Z","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":["data-science","kaggle","machine-learning","pandas","scikit-learn"],"created_at":"2026-04-28T16:01:55.911Z","updated_at":"2026-04-28T16:01:59.834Z","avatar_url":"https://github.com/CatCoder27.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI Portfolio (Starter Kit)\n\nA clean starter scaffold to kick off your ML/AI portfolio quickly.\n\n## Structure\n```\nai-portfolio/\n├── README.md\n├── requirements.txt\n├── .gitignore\n├── notebooks/\n│   ├── 00_colab_setup.ipynb\n│   ├── 01_eda_template.ipynb\n│   └── 02_ml_baseline_template.ipynb\n├── src/\n│   └── utils.py\n├── data/                # put your CSVs here (kept out of git)\n├── reports/             # exported figures, tables (kept out of git)\n├── checklist/\n│   └── phase0_checklist.md\n├── model_cards/\n│   └── project_model_card_template.md\n└── prompts/\n    └── prompt_library.md\n```\n\n## Quickstart (Local)\n1) Create a virtual env and install deps:\n```\npython -m venv .venv\nsource .venv/bin/activate  # Windows: .venv\\Scripts\\activate\npip install -r requirements.txt\n```\n\n2) Launch Jupyter:\n```\npython -m pip install jupyter\njupyter notebook\n```\n\n3) Open `notebooks/01_eda_template.ipynb` and set your CSV path (e.g., `data/your_file.csv`).\n\n## Quickstart (Google Colab)\n- Open `notebooks/00_colab_setup.ipynb` and run all cells.\n- Then open `01_eda_template.ipynb` or `02_ml_baseline_template.ipynb` via Colab (File → Upload).\n- Or upload the whole repo to GitHub first, then open notebooks directly in Colab from GitHub.\n\n## Project Template\nEach project should include:\n- Problem statement\n- Data source \u0026 license\n- Methods (split, metrics, models)\n- Results (tables, plots)\n- Error analysis \u0026 limits\n- Next steps\n- Model card (use the template in `model_cards/`)\n\n## How to push to GitHub (basic)\n```\ngit init\ngit add .\ngit commit -m \"Init AI portfolio scaffold\"\ngit branch -M main\ngit remote add origin \u003cYOUR_REPO_URL\u003e\ngit push -u origin main\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcatcoder27%2Fai-portfolio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcatcoder27%2Fai-portfolio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcatcoder27%2Fai-portfolio/lists"}