Credit Card Fraud Detection
Kaggle dataset (https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud)
Different ways to detect fraud transactions. In this notebook there are data preprocessing (Feature Scaling, Over- and Undersampling such as SMOTE and Tomek Links), ML classification algorithms (Linear Regression, XGBoost, CatBoost trees), Neural Network and CNN. Cost-sensitive learning also has been aplied in order to deal with imbalanced data.