This project will help you predict the credit card frauds using four algorithms (Logistic Regression, Decision Tree, Random Forest and XGBoost. Based on the accuracy and AUC(Area Under Curve) value, the results are inferred. Watch full video to see which algorithm works best for predicting the frauds.

The github link for the project: https://github.com/Hima29nshi/Predicting_Credit_Card_Using_R.git
Dataset link: https://www.kaggle.com/mlg-ulb/creditcardfraud