This is a quick project I did using data from dataworld to classify credit card fraud data.
Due to the imbalanced nature of the dataset, I am using both an undersampled version and an oversampled (SMOTE) version to compare the differences if any.
Analysis on some credit card fraud data available from https://data.world/raghu543/credit-card-fraud-data
Python