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https://github.com/mahnoorsheikh16/fds-project-cmse830-credit-card-default-prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
https://github.com/mahnoorsheikh16/fds-project-cmse830-credit-card-default-prediction
chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization
Last synced: 3 months ago
JSON representation
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
- Host: GitHub
- URL: https://github.com/mahnoorsheikh16/fds-project-cmse830-credit-card-default-prediction
- Owner: mahnoorsheikh16
- Created: 2024-08-31T04:42:54.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-10-16T20:18:55.000Z (3 months ago)
- Last Synced: 2024-10-17T10:43:38.337Z (3 months ago)
- Topics: chi-square-test, encoding, hiplot, imblearn, json, knn-imputer, matplotlib, numpy, pandas, pca-analysis, pillow, plotly, robust-scalar, scipy, seaborn, sklearn, smote, streamlit, ttest, visualization
- Language: Jupyter Notebook
- Homepage: https://fds-project-cmse830-credit-card-default-prediction-r2f68jop9pe.streamlit.app/
- Size: 5.43 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0