Found 54 repositories(showing 30)
sayakdeepghosh01
No description available
dhruvgoyal9999
No description available
ASingh917
No description available
pravalika1003
Online Payment Fraud Detection using Machine learning
Avinash-choubey-4719
No description available
TEMMYITS
This is a research on the development of models that identify fraudulent transactions in online payment using data analysis and machine learning.
kanika26187
No description available
likhith917
No description available
shambhavichaurasia
No description available
im-pradyunya
No description available
devanshvashistha
No description available
No description available
jordanhe23
No description available
RishmithaVuddandi
No description available
elensarg
No description available
Manish4568
No description available
ElhaanDaud
No description available
elensarg
No description available
Preethika2004
No description available
Mriduldeep44
No description available
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.
nandeesh2799
No description available
sahithii5104
No description available
vamsi652
No description available
MihaiBudurean
Fraud detection using KNN, Logistic Regression, and Decision Trees with cross-validation and clear performance metrics.
MihaiOsan
No description available
GodMischief
No description available
gurusai1gudi
No description available
Masscoders00
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.