Credit Card Fraud Detection System

Python Machine Learning Project on Credit Card Fraud Detection System

Today we will discuss the Credit Card Fraud Detection System Machine Learning Project. In this project, we will find out how to achieve the exposure of credit card frauds. We would go through different algorithms such as Logistic Regression, Artificial Neural Networks, Gradient Boosting Classifier, and finally, Decision Trees. For credit card fraud detection, our project will use the Card dealings dataset, which includes a mix of fraud and non-fraudulent transactions.

This Credit Card Fraud Detection System Machine Learning Project aims to make a classifier capable of detecting credit card fraudulent transactions. We will apply a mixture of machine learning algorithms that can distinguish fraudulent from non-fraudulent ones. After completing this project, users will learn how to use machine learning algorithms for performing classification.

The Credit Card Fraud Detection System Machine Learning Project uses user behavior and position scanning to verify unusual patterns. These patterns consist of user characteristics like user expenditure patterns and regular user geographic locations to confirm his identity. If any abnormal pattern is identified, the system calls for revivification. The network may need the user to log in once more or even block him for the above three invalid attempts.

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.