Found 54 repositories(showing 30)
MdParwez
A Complete Data Science Project that predicts fraudlent transactions
ankitparwatkar
FraudGuard Pro is an advanced AI-powered web application designed to detect fraudulent transactions in real-time using multiple machine learning models. This application provides financial institutions and payment processors with a powerful tool to identify and prevent fraudulent activities.
dhruvgoyal9999
No description available
Avinash-choubey-4719
No description available
ASingh917
No description available
pravalika1003
Online Payment Fraud Detection using Machine learning
pawanm4134
mini project related to ML
kulsssumm9
No description available
shivk2000
No description available
vyshnavi-999
No description available
SatyamPandey1526
this is a online payment fraud app built using python, and Machine Learning Algorithms and deployed o streamlit
BusayoFadahunsi
ML projects
mani0bne
No description available
TeluguPoojitha
Online Payment Fraud Detection uses machine learning to identify suspicious transactions by analyzing patterns like time, amount, and location. It reduces fraud, minimizes false alerts, and ensures secure, real-time protection for e-commerce, banking, and fintech platforms.
Tushar-Yadav1
No description available
ashiksanyo10
To identify online payment fraud with machine learning, we need to train a machine learning model for classifying fraudulent and non-fraudulent payments.
kul-shubham
No description available
chidoziesecured
Machine Learning Algorithms for detecting online payment fraud
elensarg
No description available
Shaleen2005
Mini Project on Predicting the Fraudulent Transactions in the DataSet using SMOTE OverSampling Technique
kevinArmenta
Online Payment Fraud Detection data from Kaggle
Moulika23
This project detects online payment fraud using a Decision Tree Classifier. It analyzes transaction patterns to classify them as fraudulent or legitimate, improving security and reducing financial loss.
Masscoders00
No description available
VyshnaviKatta7
No description available
SHIVRAJSHINDE
No description available
Khushi-coder26
Built a machine learning model in Python to detect online payment fraud. Performed data preprocessing and exploratory data analysis on transaction data. Trained models including Logistic Regression, Random Forest, and XGBoost. Achieved best results using XGBoost with ROC-AUC evaluation.
RishmithaVuddandi
No description available
Mriduldeep44
No description available
Preethika2004
No description available
ElhaanDaud
No description available