Credit card fraud is one of the important financial frauds that has caused a huge amount of financial losses more than
the past. Several protection mechanisms such as Fraud Prevention Systems (FPSs) are used to combat the current credit card
frauds, but these methods are not efficient enough to reduce the impact of these frauds. It is therefore important that credit card
companies are able to recognize and prevent fraudulent credit card transactions so that customers are not charged for items that
they did not purchase. In this research, we present our approach to predict legitimate or fraudulent transactions on Credit Card
Fraud Detection Dataset from Kaggle.
