Found 223 repositories(showing 30)
youssefabdelwahab
Pulling transactional data from SQL databases and exporting it to create a visualization of fraudulent transactions
Sreyashisaha04
No description available
Taskyn94
In this project I have developed credit card fraud detector classification Machine Learning Module. As Internet technologies developing rapidly, we are using online payment by our credit card. In online payment we are not supposed to be present physically. We are entering our credit card details to payment gateways. In some cases hackers may steal our credit card details. My aid in this project identify those fraud credit cards and stop the transactions.
boodschapper
Analysed two-day transactions made by European cardholders containing 284,807 transactions to predict fraud in transactions
DhanabalanVP
To predict fraudulent credit card transactions using machine learning models
chugh007
Credit Card Fraud Detection using Anomaly Detection
RegiMuhammar
No description available
No description available
SmritiUofA
This repository contains a machine learning project aimed at detecting fraudulent credit card transactions. Utilizing a dataset of over 550,000 anonymized transactions from European cardholders, this project demonstrates how to build an effective fraud detection system using Python.
Dhruvbhatt1
Machine learning: credit card fraud detection
karankarann
No description available
AllojLy
No description available
Anjanpmanoj
No description available
sayed-ashfaq
Built my first Neural Network model that detects the fraud alerts in any transaction done by the users.
utsavsharma1990
No description available
zohaibhassan04
Python-based machine learning project designed to detect fraudulent transactions in credit card data. Utilizing advanced algorithms, including anomaly detection and supervised learning techniques, this project aims to accurately identify and prevent potential credit card fraud in real-time.
preranabasakk
This project focuses on detecting fraudulent credit card transactions using supervised machine learning techniques. The main goal is to build a predictive model that can identify potential frauds based on transaction data.
No description available
mahdimirmojarabian
Fraud Detection in Credit Card Transactions using ML Techniques (in Java)
YukiChen-yuxin
A deep AutoEncoder model is used for credit card fraud detection, which includes a multi-layer network of encoders and decoders and implements the method of reconstructing data to find the error threshold and achieve classification of fraud cases
SuryanshGupta17
FraudDetection-In-CreditCard-Transactions
satyalakshmi209
No description available
sreekar0122
The challenge is to recognize fraudulent credit card transactions so that the customers of credit card companies are not charged for items that they did not purchase.
Apurvasriram
high-performing Fraud Detection system utilizing the Random Forest algorithm and SMOTE technique, yielding a precision rate exceeding 99% for accurate identification of fraudulent transactions.
uakshat
No description available
zynahleo
No description available
Jyotirmoyee18
No description available
mudigosa
No description available
hienhuynh1982
No description available
Pranathireddymalikireddy
No description available