This project aims to detect fraudulent credit card transactions using machine learning algorithms such as Logistic Regression, Decision Tree, and Random Forest. I am applying preprocessing steps such as data cleaning, normalization, and handling missing values, along with feature engineering techniques, including transformation of transaction amount before training the models.