Credit Scoring in Python Building a Complete Scorecard

Learn how to develop an end-to-end credit scoring model in Python using real-world data. This hands-on training covers each step of building a robust scorecard for financial risk analysis.
Introduction to credit scoring fundamentals and key concepts
Data preprocessing and exploration for credit datasets
Feature engineering tailored to risk prediction
Implementing Weight of Evidence (WoE) and Information Value (IV)
Building logistic regression scorecards in Python
Model evaluation and performance metrics for credit scoring
Interpreting scorecard outputs and making business decisions
Tips for deploying credit scoring models in production environments
This tutorial is ideal for those interested in machine learning, data science, and financial analytics.
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