- Data Exploration: Understand the structure and key characteristics of the dataset.
- Feature Engineering: Create and transform variables to improve model performance.
- Model Development: Build and evaluate predictive models to assess credit risk.
- Insights and Interpretation: Derive actionable insights and recommendations from the analysis.