The project is about to detect the credit card fraud and compare the accuracy score and f1 score of all models and conclude the best model for this application.
numpy, pandas, seaborn,matplotlib,statmodels,xgboost,scikitlearn,metrics.
decision tree, KNN-nearest neighbour, logistic regression, SVM(support vector machine), XGBOOST.
The model XGBOOST is best suited for the given application as its accuracy score and f1 score is better as compared to other models.