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
Nexus Bank Loan Default Prediction Model
This is a machine learning model to predict loan defaulters for Nexus Bank.
Usage
To use the model, you can input the salary and number of dependents of a customer, and it will predict whether they are likely to default on their loan.
Dependencies
- pandas
- numpy
- seaborn
- matplotlib
- scikit-learn
- gradio
Data Source
The data used for training this model was obtained from Nexus Bank.
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