credit-card-fraud-detection

sagnikghoshcr7/Credit-Card-Fraud-Detection

Fraud Detection model based on anonymized credit card transactions

imsanjoykb/Credit-Card-Fraud-Detection

Credit Card Fraud Detection

Vatshayan/Final-Year-Credit-Card-Fraud-Detection-Project

Credit Card Fraud Detection Project with Code and Documents

raviprakash11/CreditCardFraudDetectionSystem

Implementation of an intelligence system to detect the fraud cases on the basis of classification.

PR-Desai2226/Credit-card-fraud-detection-using-Federated-Learning-and-Split-Learning

Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch

shivamsaraswat/credit-card-fraud-detection

This is an Online Transaction Fraud Detection System (FDS) to detect payment frauds. Made using Django.

MiniAiLive/.github

RaimbekovA/bank-card-fraud-detection-using-machine-learning

Bank card fraud detection using machine learning. Web application using Streamlit framework

shakiliitju/Credit-Card-Fraud-Detection-Using-Machine-Learning

Credit card fraud is a significant problem, with billions of dollars lost each year. Machine learning can be used to detect credit card fraud by identifying patterns that are indicative of fraudulent transactions. Credit card fraud refers to the physical loss of a credit card or the loss of sensitive credit card information.

Vatshayan/Full-Stack-Credit-Card-Fraud-Detection-Project

Full Stack Credit Card Fraud Detection Using Machine Learning with Code and Documents Plus Youtube Explanation Video

nano-bot01/Credit-Card-Fraud-Detection-

Credit Card Fraud Detection using Logistic Regression on credit card dataset

seguinleo/CreditCardVerification

Simple credit card verification built with C++

SimarjotKaur/Credit-Card-Fraud-Detection

Credit Card Fraud Detection using Neural Networks (Keras)

Alekla0126/Card_Fraud_Detection

Credit Fraud Detection for the course project for the master's degree in Software and Systems Engineering.

Arkantos-13/Anomaly_Detection_in_Credit_Card_Fraud

Anomaly detection analysis project in a credit card fraud detection with real anonymous data info from Kaggle

ayush-agarwal-0502/Credit-Card-Fraud-Detection-ML

Credit Card Fraud Detection using Logistic Regression

nessabauer/credit-py

Credit - CS50 - PYTHON

SelimWaly/CC-Scanner

Enhanced Credit Card Fraud Detection using Graph Neural Networks

yashwantaditya009/Fintech

The project is to recognize fraudulent credit transactions. You only need to put the dataset and model will detect the fraudulent credit transactions.

ChaitanyaC22/Fraud_Analytics_Credit_Card_Fraud_Detection

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

charumakhijani/deep-learning

kindo-tk/CODSOFT

This repository contains the tasks for data science internship at codsoft

KOUISAmine/credit-card-checker

Credit Card Checker is a tool designed to verify the validity and authenticity of credit card numbers.

luuisotorres/Credit-Card-Fraud-Detection

For this project, I used four different classification algorithms to detect fraudulent credit card transactions.

acharles7/data-science-notebooks

Credit card fraud detection, gender classification from name etc.

Akbhobhiya/Data-Analytics-Project

Credit Card Fraud Detection: Combination of both Unsupervised and Supervised Algorithm to detect Fraud in credit cards

charumakhijani/credit-card-fraud-detection

ibnaleem/cc-validation-webserver

A lightweight web server for validating credit card numbers, written in Go.

integrationsbulletproof/bulletproof-bpcheckout-lite

WooCommerce plugin for using the BulletProof Checkout API

irabbi360/php-credit-card-validator

Validates popular debit and credit cards numbers against regular expressions and Luhn algorithm. Also validates the CVC and the expiration date.

lbalazs01/credit_card_fraud

Final Project for CS-577 Principles and Techniques of Data Science at San Diego State University

UditSharma9999/Credit_Card_Fraud_Detection

Zenus004/Credit-Card-Fraud-Detection-using-Machine-learning-Algorithms

Logistic Regression, Random Forest & K-means Clustering algorithms are used in this project

annuushhqaaa/CODSOFT

Machine Learning Internship

mahnoorsheikh16/Loan-Default-Prediction

Credit risk is the borrower’s inability to repay a loan. Machine Learning models can predict risky customers and reduce lender losses. By analyzing behavior and demographics of past customers, these insights can apply to future customers for better loan decisions. This study aims to find the most suitable model for predicting loan defaults.