A binary classification model to automate the Credit Card eligibility process based on customer details. It includes visualization of the various features affecting the eligibility process, balanced the dataset using SMOTE. It was tested on various favorable models, among which XGBoost gave the highest accuracy of 84%.
active 2024-11-22 → 2024-11-29 (UTC)
Activity over time
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Line chart, 8 days from 2024-11-22 to 2024-11-29. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Whybhuv | 1 | 1 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.