In today's world, due to the rapid increase of technology many countries in the world encouraging cashless transactions. Credit cards are the easiest and fastest mode of payment both in offline as well as online transactions. So, credit cards are becoming a more popular mode of transaction in modern-day life. This also increases fraud cases in credit card transactions. Peoples and companies face a huge amount of loss of money due to these increasing cases of fraud transactions. This also affects the liability of the bank systems and service providers. This is why it becomes very important to detect fraud transactions and avoid financial loss. The good thing is fraud tends to occur in patterns so machine learning algorithms can help us to predict them. Our objective is to reduce the tedious work of the fraud detection process with the help of machine learning and data science.