The code processes a loan dataset by cleaning, encoding, and reducing dimensions with PCA. Five models (Naive Bayes, SVM, KNN, Random Forest, Logistic Regression) are trained and optimized. An ensemble with cross-validation refines accuracy, enabling reliable predictions on loan approvals.