{"id":25143885,"url":"https://github.com/smaddanki/data-science","last_synced_at":"2026-04-13T01:10:45.992Z","repository":{"id":276515896,"uuid":"876802132","full_name":"smaddanki/data-science","owner":"smaddanki","description":"Code blocks, algorithms, and research snippets in Data Science, Machine Learning, AI \u0026 Quant Finance. ","archived":false,"fork":false,"pushed_at":"2025-01-10T20:57:13.000Z","size":3031,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-15T05:43:55.552Z","etag":null,"topics":["deep-learning","machine-learning","pytorch","scikit-learn","spark"],"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/smaddanki.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":"2024-10-22T15:22:12.000Z","updated_at":"2025-02-04T01:11:57.000Z","dependencies_parsed_at":"2025-02-13T13:32:49.628Z","dependency_job_id":null,"html_url":"https://github.com/smaddanki/data-science","commit_stats":null,"previous_names":["smaddanki/data-science","smaddanki/smaddanki-labs"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/smaddanki/data-science","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaddanki%2Fdata-science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaddanki%2Fdata-science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaddanki%2Fdata-science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaddanki%2Fdata-science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/smaddanki","download_url":"https://codeload.github.com/smaddanki/data-science/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaddanki%2Fdata-science/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31735673,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-12T22:19:12.206Z","status":"ssl_error","status_checked_at":"2026-04-12T22:18:33.088Z","response_time":58,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":["deep-learning","machine-learning","pytorch","scikit-learn","spark"],"created_at":"2025-02-08T19:15:36.113Z","updated_at":"2026-04-13T01:10:45.974Z","avatar_url":"https://github.com/smaddanki.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SMADDANKI - LABS\nRepository of practical implementations in Data Science, Machine Learning, AI \u0026amp; Quant Finance. Code blocks, algorithms, and research snippets for modern data-driven solutions.\n\n## 🌟 Vision\nBridging theoretical knowledge with practical implementations across:\n- 📊 Data Science \u0026 Analytics\n- 🤖 Machine Learning \u0026 AI\n- 💹 Quantitative Finance\n- 📈 Algorithmic Trading\n\n## 🎯 What You'll Find\n- Production-ready code implementations\n- Research papers \u0026 explanations\n- Mathematical foundations \u0026 algorithms\n- Trading strategies \u0026 backtesting frameworks\n- Deep learning models \u0026 architectures\n- Financial market analysis tools\n\n## 🔍 Featured Areas\n- ML/DL Model Implementations\n- Time Series Analysis \u0026 Forecasting\n- Portfolio Optimization\n- Risk Management\n- NLP for Financial Markets\n- Real-time Data Processing\n- Quantitative Research\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmaddanki%2Fdata-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsmaddanki%2Fdata-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmaddanki%2Fdata-science/lists"}