Credit Card Fault Detection using Machine Learning

Credit card fraud event occurs often times and then, at that point, bring about enormous monetary misfortune. Law breakers can utilize a few advancements, for example, phishing or trojans to take others credit card data. Subsequently, effective fraud detection strategy will be significant as it can distinguish extortion when a criminal uses card to devour. A strategy is utilized to authentic exchange information including ordinary exchanges and misrepresentation once to acquire ordinary / extortion conduct highlights depends on machine learning methods. Each year, a loss of 5% of income by an organisation is towards fraud. In fact, a RTI query revealed that a total of 2480 cases of fraudulent transactions that summed up to rupees 32,000 crores rattled 18 public sector Indian banks. As such we can say that fraud poses a serious concern for all the financial as well as trading organizations. In this paper, we have tried to explore what fraud is in financial terms and its different forms, rule-based approach to fraud detection, data science techniques used to detect these frauds and challenges faced during building a fraud detection system for transactions involving credit cards