Fraud Detection in Financial Transactions

A Zerotick financial institution wants to foster its fraud detection capabilities so that it can safeguard its customers' transactions from fraudulent activities and promote smooth customer transactions.

Challenge:

The institution needs a machine learning algorithm that can identify potentially fraudulent transactions in real time while minimizing false positives.

Learning Objectives

Prepare the necessary ML model that is best suited to the above problem. This section also highlights the steps required to make an ML Algorithm model.