Summary
The credit card unit of a commercial bank needs to come up with a data-driven model to predict which credit customers will default.
Teaching objectives
1. Understand how to use supervised machine learning methods and available data to make business decisions;
2. Understand how to apply classification modeling in relevant business applications, in particular credit default;
3. Apply several machine learning methods for predictive modeling in business applications;
4. Learn how to train, validate and test a predictive model;
5. Learn how to apply feature engineering in business decision making;
6. Implement several machine learning methods and classification modeling with code.
Keywords
- Credit default
- Credit cards
- Consumer loans
- Machine learning
- Classification
- Analytics
- AI
- Predictive analytics
- Prescriptive analytics
- Training and validation
- Feature engineering
- Supervised learning
- Q12022
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