datanalysis-credit-risk
A Python-based 11-step data cleaning and feature screening pipeline for credit risk analysis and reporting.
Install
npx skills add https://github.com/github/awesome-copilot --skill datanalysis-credit-riskStats
| Total installs | 5,708 |
| Weekly installs | 5.7K |
| GitHub stars | 27.4K |
| First seen | Mar 2, 2026 |
| Source | @github/awesome-copilot |
Summary
- Executes 11 independent steps covering data loading, abnormal period filtering, missing rate analysis, low-IV and high-PSI variable removal, null importance denoising, and correlation-based feature elimination
- Supports organization-level analysis with separate modeling and out-of-sample (OOS) sample handling, plus multi-process acceleration for IV and PSI calculations
- Generates comprehensive Excel report with 15 sheets detailing operation results, feature statistics, distributions, and removed variables across all pipeline stages
- Configurable thresholds for missing rate, IV, PSI, correlation, and null importance parameters with sensible defaults
Tags
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FAQ
- How many installs does datanalysis-credit-risk have?
- datanalysis-credit-risk has 5,708 total installs and 5.7K installs this week.
- Where is datanalysis-credit-risk hosted?
- datanalysis-credit-risk is published by @github/awesome-copilot at https://github.com/github/awesome-copilot.
- How many GitHub stars does datanalysis-credit-risk have?
- datanalysis-credit-risk has 27.4K GitHub stars.
- When was datanalysis-credit-risk first indexed?
- OrangeBot.AI first indexed datanalysis-credit-risk on Mar 2, 2026.
- How do I install datanalysis-credit-risk?
- Run: npx skills add https://github.com/github/awesome-copilot --skill datanalysis-credit-risk