this is a machine learning project where the main goal of this project is of accurately identifying fraudulent transactions in credit card data.

• KONDJO Jacob
• FOTSO Bryan

the data come from kaggle : https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud

in order to achive our goal we will test a bunch of technique such as

• Logistic Regression
• Random Forest
• Xgboost algorithm
• MLP