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Spaces:
ALAMDIENG
/
waste-prediction-api
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waste-prediction-api
439 kB
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  • 2 contributors
History: 96 commits
ALAMDIENG's picture
ALAMDIENG
feat(ml): upgrade model to Stacking Regressor and calibrate base to 9,059 tons daily waste
ebdf770 2 days ago
  • __pycache__
    UPDATE ALL FEATURE (#3) 23 days ago
  • data
    refactor(data): organize all datasets and data files into clean data/ directory 13 days ago
  • docs
    refactor(arch): structure repository into scalable models/, scripts/, docs/, and data/ directories 13 days ago
  • frontend
    feat(seo): add Geo-location tags (ID-JK), Schema.org Multi-Type JSON-LD Graph, and expanded sitemap.xml for rapid indexing 13 days ago
  • scripts
    feat(ml): upgrade model to Stacking Regressor and calibrate base to 9,059 tons daily waste 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • .gitignore
    168 Bytes
    feat(ml): upgrade model to Stacking Regressor and calibrate base to 9,059 tons daily waste 2 days ago
  • .vercelignore
    261 Bytes
    fix: add .vercelignore to exclude heavy backend files from Vercel deployment 22 days ago
  • Dockerfile
    336 Bytes
    Create Dockerfile 3 months ago
  • README.md
    9.98 kB
    Update README.md 5 days ago
  • app.py
    55.4 kB
    feat(ml): upgrade model to Stacking Regressor and calibrate base to 9,059 tons daily waste 2 days ago
  • requirements.txt
    237 Bytes
    fix: resolve scikit-learn build dependency error by removing version lock 17 days ago
  • vercel.json
    328 Bytes
    fix: configure vercel.json builds to only package frontend static assets 22 days ago