It is vital that credit card companies are able to identify fraudulent credit card transactions so
that customers are not charged for items that they did not purchase. Such problems can be
tackled with Data Science and its importance, along with Machine Learning, cannot be
overstated. This project intends to illustrate the modelling of a data set using machine learning
with Credit Card Fraud Detection. The Credit Card Fraud Detection Problem includes
modelling past credit card transactions with the data of the ones that turned out to be fraud.
This model is then used to recognize whether a new transaction is fraudulent or not. Our
objective here is to detect 100% of the fraudulent transactions while minimizing the incorrect
fraud classifications.