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https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data
This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.
https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data
aws cassandra catboost-classifier classification credit-risk data data-science dataanalysis dockerfile finance financial-analysis flask github-actions logging machine-learning mlflow numpy pandas python
Last synced: 3 days ago
JSON representation
This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.
- Host: GitHub
- URL: https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data
- Owner: kunalshelke90
- License: mit
- Created: 2024-08-22T08:51:02.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-09-04T18:10:15.000Z (23 days ago)
- Last Synced: 2024-09-24T21:53:53.866Z (3 days ago)
- Topics: aws, cassandra, catboost-classifier, classification, credit-risk, data, data-science, dataanalysis, dockerfile, finance, financial-analysis, flask, github-actions, logging, machine-learning, mlflow, numpy, pandas, python
- Language: Jupyter Notebook
- Homepage:
- Size: 13.1 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE