{"id":30280034,"url":"https://github.com/codestrate/miniml_toolkit","last_synced_at":"2025-08-16T14:37:23.470Z","repository":{"id":304788195,"uuid":"1018148662","full_name":"CodeStrate/miniml_toolkit","owner":"CodeStrate","description":null,"archived":false,"fork":false,"pushed_at":"2025-07-15T06:59:15.000Z","size":7,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-15T15:05:43.856Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/CodeStrate.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":"2025-07-11T17:31:50.000Z","updated_at":"2025-07-15T06:59:19.000Z","dependencies_parsed_at":"2025-07-15T15:41:10.719Z","dependency_job_id":null,"html_url":"https://github.com/CodeStrate/miniml_toolkit","commit_stats":null,"previous_names":["codestrate/miniml_toolkit"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/CodeStrate/miniml_toolkit","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeStrate%2Fminiml_toolkit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeStrate%2Fminiml_toolkit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeStrate%2Fminiml_toolkit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeStrate%2Fminiml_toolkit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CodeStrate","download_url":"https://codeload.github.com/CodeStrate/miniml_toolkit/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeStrate%2Fminiml_toolkit/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270723853,"owners_count":24634484,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-16T02:00:11.002Z","response_time":91,"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":[],"created_at":"2025-08-16T14:37:18.980Z","updated_at":"2025-08-16T14:37:23.453Z","avatar_url":"https://github.com/CodeStrate.png","language":"Python","readme":"# 🚀 MiniML-Toolkit — Machine Learning Using Only NumPy and Pure Math\n\nWelcome to **MiniML-Toolkit**, a DIY machine learning sandbox where we rebuild models from scratch using nothing but **NumPy** and a love for math.\n\nNo scikit-learn. No black boxes. Just gradients, dot products, and clean Python code.\n\n---\n\n## 📦 Features\n\n✅ Simple Linear Regression (1 feature)  \n✅ Multiple Linear Regression (n features)  \n✅ Gradient Descent optimizer  \n✅ Custom Standard Scaler  \n✅ Manual Train/Test Split  \n✅ R², MSE, RMSE Metrics — from scratch  \n\n---\n\n## 🧠 Project Structure\n\n```\n\nMiniML-Toolkit/\n├── models/\n│   ├── simple_linear_regression.py      # SLR model (1 X, 1 y)\n│   └── multiple_linear_regression.py    # MLR model (n X, 1 y)\n│   └── and more !!!\n├── utils/\n│   ├── standard_scaler.py               # Custom StandardScaler class\n│   └── model_utils.py                    # Normalizer and Train Test Splitter\n├── app.py                              # Run MLR/SLR training + evaluation\n├── requirements.txt\n└── README.md\n\n````\n\n---\n\n## 🛠️ Installation\n\n### 📌 Using `venv` (Recommended)\n```bash\npython -m venv venv\nsource venv/bin/activate        # Windows: venv\\Scripts\\activate\npip install -r requirements.txt\n````\n\n### 📌 Or use `conda`\n\n```bash\nconda create -n miniml python=\u003cany version\u003e -y\nconda activate miniml\npip install -r requirements.txt\n```\n\n---\n\n## ▶️ How to Run\n\n```bash\npython app.py\n```\n\nmodify `app.py` directly to experiment with parameters, datasets, and iterations.\n\n---\n\n## 📈 Sample Output\n\n```text\n[MLR] Initial MSE: 22.14\n[MLR] Final RMSE: 4.11 | R²: 0.704\n\n[SLR] Initial MSE: 33.8\n[SLR] Final RMSE: 5.47 | R²: 0.52\n```\n\n---\n\n## 💬 Why This Exists\n\nBecause nothing beats learning ML like writing it from scratch.\nThis toolkit is about understanding **how** things work, not just *that* they work.\n\nMore models (logistic regression, neural nets, etc.) coming soon!\n\n---\n\n## 🧪 Requirements\n\n```bash\nnumpy\npandas\nloguru\n\n# optionally add matplotlib , seaborn for visuals\n```\n\nInstall via:\n\n```bash\npip install -r requirements.txt\n```\n\n---\n\n## 🤝 Contributing\n\nIdeas? Fixes? New models?\nOpen an issue or PR — this project is open to all math-loving developers.\n\n---\n\n## 📜 License\n\nMIT. Use it, learn from it, and feel free to build your own toolkit on top!\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodestrate%2Fminiml_toolkit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodestrate%2Fminiml_toolkit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodestrate%2Fminiml_toolkit/lists"}