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EngrSamad
/
LoanDefaulterPredicto

Tabular Classification
Scikit-learn
English
finance
Model card Files Files and versions
xet
Community

Instructions to use EngrSamad/LoanDefaulterPredicto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use EngrSamad/LoanDefaulterPredicto with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("EngrSamad/LoanDefaulterPredicto", "sklearn_model.joblib")
    )
    # only load pickle files from sources you trust
    # read more about it here https://skops.readthedocs.io/en/stable/persistence.html
  • Notebooks
  • Google Colab
  • Kaggle
LoanDefaulterPredicto
3.77 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
EngrSamad's picture
EngrSamad
Update model_card.json
69d9f88 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    581 Bytes
    Update README.md about 2 years ago
  • knn_mobel_jablib

    Detected Pickle imports (3)

    • "numpy.dtype",
    • "numpy.ndarray",
    • "joblib.numpy_pickle.NumpyArrayWrapper"

    How to fix it?

    233 Bytes
    Upload knn_mobel_jablib about 2 years ago
  • model_card.json
    326 Bytes
    Update model_card.json about 2 years ago
  • nexus_bank_dataa.csv
    1.06 kB
    Upload nexus_bank_dataa.csv about 2 years ago
  • requirements.txt
    52 Bytes
    Create requirements.txt about 2 years ago