Credit Card Fraud Detection - Random Forest, XGBOOST, CatBoost, LightGBM - OPTUNA

This project's aim is to experiment with ensemble models on an extremely imbalanced dataset for binary classifications. The hyperparameters of the models were optimized using Optuna.

Data Source

The dataset for this project is from Kaggle's Credit Card Fraud Detection competition.