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
| { | |
| "name": "Nexus Bank Loan Default Prediction Model", | |
| "description": "A machine learning model to predict loan defaulters for Nexus Bank.", | |
| "task": "Binary classification", | |
| "model_type": "K-Nearest Neighbors Classifier", | |
| "license": "MIT", | |
| "tags": ["loan prediction", "binary classification", "machine learning"] | |
| } | |