Optimizing Loan Default Reporting via Data Preprocessing Insights

This presentation provides a structured analysis framework emphasizing data cleaning and analysis progression from univariate to multivariate methods, culminating in statistical model comparisons. It integrates AI engineering principles to explore feature engineering, dimensionality reduction, and statistical interpretation. Key focus areas include training baseline models, addressing outliers, multicollinearity management, and balancing performance with interpretability. Visualizations such...