Customer Segmentation using K-Means Clustering on the Mall Customer Dataset to analyze customer behavior based on annual income and spending score.

A machine learning project that predicts whether a bank customer will churn using Logistic Regression, Decision Tree, and Random Forest classifiers — with full preprocessing pipelines, cross-validation, hyperparameter tuning, and model evaluation.