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Credit Risk - Case Study
Data and Methodology
1. Methodology
1.1. Hypothesis
1.2. Avoiding Data Leak
1.3. Evaluation Method
2. Initial Data Discovery
3. Data Profile Reports
Loans Data Profile Report
Fintech Data Profile Report
Ecommerce Data Profile Report
4. Product Understanding
Experiments
5. Exploratory Data Analysis
6. Testing Assumptions
7. Test Hypothesis
ML Experiments
8. Feature Engineering
9. Baseline Model
10. Model Tuning
11. Results
Credit Risk Decision API
12. Overview
13. Objectives and Key Results
14. Risk Segmentation
15. User Story
Index
