To develop a model for predicting fraudulent transactions for a financial company and use insights from the model to develop an actionable plan. Data for the case is available in CSV format having 6362620 rows and 10 columns.
Dataset : https://drive.google.com/uc?export=download&confirm=6gh6&id=1VNpyNkGxHdskfdTNRSjjyNa5qC9u0JyV