Скачать или смотреть Population Stability Index (PSI) for Scorecards | Monitor Model Drift in Python (Part 13)

🚨 CREDIT RISK SCORECARD VALIDATION — EXPLAINED LIKE NEVER BEFORE! 🚨

Banks run on credit scorecards — but what happens when those models start failing silently? 😱
In this video, we break down how to validate, monitor, and safeguard your credit risk models step-by-step — using real-world examples and bank-level metrics like:
👉 PSI, CSI, KS, Gini, Vintage, and Roll Rate Analysis.

NOTES ON GITHUB : https://github.com/rajatkumar0308/Cre...

🎯 No theory — only practical insights that every Risk Analyst, Data Scientist, and Credit Modeler must know!

📊 What You’ll Learn:

⏱️ 00:00 – 02:19: Why Model Validation Matters — the risk of shifting populations
⏱️ 02:19 – 04:32: Data Prep & Monitoring Setup (Loan IDs, EMIs, Disbursements & more)
⏱️ 04:32 – 09:37: Front-End Analysis (PSI & CSI Explained with Live Example)
⏱️ 09:37 – 13:12: Back-End Analysis (Vintage & Roll Rate for Performance Tracking)
⏱️ 13:12 – 16:44: KS & Gini — Measuring True Predictive Power
⏱️ 16:44 – 17:45: Final Checklist for a Complete Validation Framework

💡 Key Takeaways:

✔ PSI & CSI → Detect early population drift
✔ Roll Rate & Vintage → Track delinquency and migration
✔ KS & Gini → Test model discrimination power
✔ Model Validation = Stability + Compliance + Trust

📘 Glossary Inside: PSI, CSI, Vintage, Roll Rate, KS, Gini, DPD — all simplified for easy understanding.

Credit Risk Scorecard Validation Explained, step-by-step with PSI, CSI, KS, Gini, Vintage, Roll Rate Analysis, and real banking examples. Perfect for data scientists, analysts, and finance professionals. Learn model monitoring, population stability, scorecard performance, and risk management in banks. Subscribe for Credit Risk, Analytics, and Model Validation tutorials!

🔥 Whether you’re a student, data scientist, or credit risk professional, this video will make you validation-ready for any banking model audit.

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