A supervised machine learning classification project on a real-world bank customer dataset. The goal is to predict personal loan acceptance using financial and demographic features. Models used: Logistic Regression, KNN, and Naive Bayes. Includes full preprocessing, noise/missing value handling, cost function analysis, performance comparison, and model improvement.
pouyarahdan/Bank-Loan-Classification-ML-Project
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