Predicting customer retention in an e-commerce platform using classification models. Includes data preprocessing, feature engineering, and model evaluation (Logistic Regression, SVM, Random Forest, KNN, Decision Tree). Best model achieves 83% accuracy and perfect recall. Ideal for business use.

This project detects credit card fraud using machine learning and deep learning models, including Random Forest, SVM, and Neural Networks, ensuring accurate classification and supporting fraud prevention efforts.