Credit Card Fraud Detection System

Python Machine Learning Project on Credit Card Fraud Detection System

Today's discussion will be on the Credit Card Fraud Detection System Machine Learning Project. In this project, we will look into ways to expose credit card fraud. There would be a discussion of a number of methods, such as decision trees, logistic regression, artificial neural networks, and gradient boosting classifiers. To identify credit card fraud, our study will make use of the Card Dealings dataset, which consists of both fraudulent and non-fraudulent transactions.

The objective of the Credit Card Fraud Detection System Machine Learning Project is to develop a classifier that can recognize fraudulent credit card transactions. We'll employ a range of machine learning methods that can distinguish between data that is fraudulent and non-fraudulent. After completing this assignment, users would have gained understanding about applying machine learning algorithms for categorization.

Core Features:

• The Credit Card Fraud Detection System Machine Learning Project system stores earlier transaction patterns for every user.
• Based on the user expenditure ability and even state, it calculates the user’s characteristics.
• Over 20 -30 % difference in user transaction is considered as an invalid attempt, and the system takes action.

So, now you are prepared to identify the fraud. The Credit Card Fraud Detection System Machine Learning Project is essential technology of this era and expected to last forever. Students can start using our Card Fraud Detection System Machine Learning Project for your academic requirements for FREE.

Algorithm Used to check fraud transactions

• Logistic Regression
• Random Forest

Static Pages and other sections :

These static pages will be available in project Credit Card Fraud Detection System

• Home Page with good UI
• Home Page will contain an animated slider for images banner
• About us page will be available which will describe about the project
• Contact us page will be available in the project

Technology Used in the project Credit Card Fraud Detection System

We have developed this project using the below technology

• HTML : Page layout has been designed in HTML
• CSS : CSS has been used for all the desigining part
• JavaScript : All the validation task and animations has been developed by JavaScript
• Python : All the business logic has been implemented in Python
• MySQL : MySQL database has been used as database for the project
• Django : Project has been developed over the Django Framework

Supported Operating System

We can configure this project on following operating system.

• Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install Python, PIP, Django.
• Linux : We can run this project also on all versions of Linux operating system
• Mac : We can also easily configured this project on Mac operating system.