datanalysis-credit-risk
This skill is for Data & Analytics and helps you clean credit risk data, screen variables for loan modeling, and calculate missing value rates.
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
Helps you
- Clean credit risk data
- Screen variables for loan modeling
- Calculate missing value rates
- Filter low-information variables
- Remove correlated features
- Generate data quality reports
Install
Copy into ~/.claude/skillsgit clone --depth 1 https://github.com/github/awesome-copilot
cp -r awesome-copilot/skills/datanalysis-credit-risk ~/.claude/skills/datanalysis-credit-riskWhat it can use
The author didn’t declare which tools this skill uses. Read the SKILL.md before installing it.
Credit RiskFeature SelectionData PreprocessingMissing ValuesInformation ValuePsi
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