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https://github.com/mmsaki/credit-risks-ml
Using the imbalanced-learn and Scikit-learn libraries to build and evaluate machine learning models.
https://github.com/mmsaki/credit-risks-ml
balanced-accuracy-scores classification-models credit-risk imbalanced-classification imbalanced-learning loan-prediction-analysis logistic-regression machine-learning oversampling predictive-modeling resampling sklearn smote-oversampler smoteenn-combination undersampling-technique
Last synced: 2 days ago
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Using the imbalanced-learn and Scikit-learn libraries to build and evaluate machine learning models.
- Host: GitHub
- URL: https://github.com/mmsaki/credit-risks-ml
- Owner: mmsaki
- Created: 2022-05-29T04:58:02.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-06-01T10:24:28.000Z (over 2 years ago)
- Last Synced: 2024-12-20T12:14:24.544Z (about 2 months ago)
- Topics: balanced-accuracy-scores, classification-models, credit-risk, imbalanced-classification, imbalanced-learning, loan-prediction-analysis, logistic-regression, machine-learning, oversampling, predictive-modeling, resampling, sklearn, smote-oversampler, smoteenn-combination, undersampling-technique
- Language: Jupyter Notebook
- Homepage:
- Size: 9.02 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0