About

This task analyzes a credit dataset containing 30 applicant variables to understand factors influencing credit decisions. It includes descriptive statistics, visualizations, and statistical tests, followed by building logistic regression and decision tree models to classify applicants as good or bad credit risks. The results are then interpreted to evaluate the bank’s decision-making process.