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.
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New here? These commands run inside Claude Code, Anthropic's terminal-based coding assistant — not your regular shell. Open a terminal, type claude to start a session, then paste the two lines below inside it.
npx skills add github/awesome-copilot --skill "datanalysis-credit-risk" -a claude-code -g -yPaste into a Claude Code session. This only adds/installs the plugin — nothing runs automatically.
O, si ya vinculaste skillcat-sync, envíalo directamente — te pedirá confirmar antes de tocar nada.
This listing is sourced from github/awesome-copilot. We index metadata only and have not executed or audited this code. Review the source before installing.
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