- 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.
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Analysis and prediction of credit for new clients
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