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https://github.com/sayamalt/credit-card-approval-prediction
Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.
https://github.com/sayamalt/credit-card-approval-prediction
binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-retraining model-selection model-testing model-training-and-evaluation
Last synced: about 18 hours ago
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Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.
- Host: GitHub
- URL: https://github.com/sayamalt/credit-card-approval-prediction
- Owner: SayamAlt
- License: apache-2.0
- Created: 2023-10-26T22:31:35.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-27T18:58:44.000Z (about 1 year ago)
- Last Synced: 2023-10-27T23:31:17.830Z (about 1 year ago)
- Topics: binary-classification, cicd-deployment, cross-validation, data-exploration-and-preprocessing, data-visualization, exploratory-data-analysis, feature-engineering, hyperparameter-optimization, machine-learning, model-deployment, model-retraining, model-selection, model-testing, model-training-and-evaluation
- Language: Jupyter Notebook
- Homepage: https://credit-card-approval-prediction.onrender.com/
- Size: 15.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- License: LICENSE