datanalysis-credit-risk
githubClean and screen credit data before modeling.
credit risk modeling
What it does
Cleans and screens raw credit-risk data for pre-loan modeling.
When to use it
Use it when raw credit data needs quality assessment, missing-value analysis, or variable selection before modeling.
How to use it
Give it raw credit data and its column mappings; it accepts parameters before each step and produces a detailed Excel report.
What you provide
- data file path
- date and label columns
- organization and key columns
- Your files
Access · 1
This skill
raw credit data file
Read
Reads your raw credit data
What you need · 7
Python runs the complete data-cleaning pipeline.
The processing functions import pandas for tabular data handling.
The processing functions import NumPy for missing-value and numeric operations.
The pipeline imports toad and uses its binning and IV-quality functions.
About this skill
- Visibility
- Public
- Repository
- github/awesome-copilot
- Created
- Oct 8, 2026
- Updated
- Oct 8, 2026
- Files
- 4