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Projects in Awesome Lists tagged with credit-card-fraud

A curated list of projects in awesome lists tagged with credit-card-fraud .

https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

anomaly-detection autoencoders credit-card-fraud deep-learning keras tensorflow tensorflow-tutorial

Last synced: 14 Mar 2025

https://github.com/curiousily/credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

anomaly-detection autoencoders credit-card-fraud deep-learning keras tensorflow tensorflow-tutorial

Last synced: 05 Apr 2025

https://github.com/Divya-Bhargavi/isolation-forest

Anomaly detection using isolation forest

anomaly-detection credit-card-fraud isolation-forest

Last synced: 14 Mar 2025

https://github.com/coderjolly/credit-card-fraud-detection

Credit card fraud refers to any unauthorized or fraudulent use of someone else's credit card information to make purchases or obtain funds. It is a criminal activity and a form of identity theft. This repository contains an implementation of a credit card fraud detection system using machine learning techniques.

auc-roc-curve churn-prediction credit-card-fraud decision-tree-classifier logistic-regression naive-bayes-classifier

Last synced: 27 Mar 2025

https://github.com/raghavendranhp/credit_card_fraud_detection

This repository contains code for a credit card fraud detection model using autoencoders and logistic regression, achieving 95.3% accuracy.

anomaly-detection autoencoder-neural-network credit-card-fraud data keras logistic-regression machine-learning preprocessing tensorflow

Last synced: 24 Feb 2025

https://github.com/chutrunganh/fraud-credit-card-detection-group-17

🤖 The Fraud Credit Card Detection project aims to identify fraudulent transactions in credit card usage through the application of various machine learning methods, thereby improving the security of credit card operations and safeguarding users' financial assets.

binary-classification capstone-project classification credit-card-fraud credit-card-fraud-detection hust machine-learning

Last synced: 07 Mar 2025

https://github.com/filiprokita/anticcscam

AntiCCScam is a Python script that combats credit card fraud by sending fake data to scam websites, disrupting their malicious operations. This tool generates and automates the flooding of scam sites with random credit card information for educational and ethical purposes.

anti-fraud automation credit-card credit-card-fraud credit-card-spam cybersecurity data-flooding ethical-hacking fake-data fraud-prevention hacking pen-testing python python-script requests scam-protection security-tool spam-bot threading web-security

Last synced: 24 Mar 2025

https://github.com/coderjolly/fraud-detection-credit-card

Credit card fraud refers to any unauthorized or fraudulent use of someone else's credit card information to make purchases or obtain funds. It is a criminal activity and a form of identity theft. This repository contains an implementation of a credit card fraud detection system using machine learning techniques.

auc-roc-curve churn-prediction credit-card-fraud decision-tree-classifier logistic-regression naive-bayes-classifier

Last synced: 01 Apr 2025

https://github.com/frantorres14/transaction-fraud-detection-supervised-and-unsupervised-models

En este proyecto se prueban modelos de clasificación supervisado (XGBoost) y no supervisado (Autoencoder) para detectar transacciones fraudulentas con tarjetas de crédito en datos desbalanceados

autoencoder classification credit-card-fraud fraud-detection machine-learning python xgboost

Last synced: 23 Apr 2025

https://github.com/pranavms13/credit-card-fraud-detection

Credit Card Fraud Detection System using Logistic Regression and Random Forest Classification

credit-card credit-card-fraud logistic-regression machine-learning machine-learning-algorithms ml random-forest

Last synced: 27 Feb 2025

https://github.com/siam29/ensemble-majority-voting-hard

In this project, we implemented an ensemble learning approach using majority voting (hard voting) with five machine learning classifiers: DT, RF, XGBC, ANN, and KNN. The ensemble model achieved an impressive accuracy score of 99.95% and an F1 score of 85.51%.

credit-card-fraud ensemble-learning machine-learning matplotlib pandas scikit-learn

Last synced: 27 Mar 2025

https://github.com/taymesmaee/anomaly-detection-in-transactions

Anomaly detection in transactions means identifying unusual or unexpected patterns within transactions or related activities. These patterns, known as anomalies or outliers, deviate significantly from the expected norm and could indicate irregular or fraudulent behaviour.

anomaly-detection autoencoder credit-card credit-card-fraud data-science-portfolio isolation-forest machine-learning matplotlib mlops-project pandas predictive-analytics python tensorflow tutorials

Last synced: 11 Apr 2025

https://github.com/anastasius21/creditcardfrauddetection

This repository contains a Jupyter Notebook for Credit Card Fraud Detection Model and a csv dataset on which it is being trained

credit-card-fraud data-analysis data-science data-visualization fraud-detection logistic-regression machine-learning

Last synced: 10 Apr 2025

https://github.com/mohammad95labbaf/outlier-imbalanced-fraud-detection

The Credit Card Fraud Detection project uses statistical techniques and machine learning for identifying fraudulent transactions. It includes data preprocessing, outlier detection using Boxplots and Z-scores, and a decision tree model. Evaluation goes beyond accuracy, considering precision, recall, F1-score, and ROC AUC.

boxplot classification-model credit-card credit-card-fraud credit-card-fraud-detection decision-tree decision-tree-classifier fraud-detection imbalanced-classification imbalanced-data outlier-detection outlier-removal z-score

Last synced: 03 Mar 2025

https://github.com/vbhvsingh0/fraudulent_transactions

A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions

credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier

Last synced: 04 Mar 2025

https://github.com/aryanpillai2007/credit-card-fraud-detection

The primary goal of this project is to develop a comprehensive fraud detection system that enhances the security and trustworthiness of financial transactions.

anomaly-detection classification credit-card-fraud data-preprocessing data-science data-visualization fraud-detection imbalanced-data logistic-regression machine-learning outlier-detection pca pca-analysis python roc-curve scikit-learn

Last synced: 26 Mar 2025

https://github.com/megave/card-clone-checker

Fictional application to check if your credit card was stolen (meme)

credit-card-fraud reactjs

Last synced: 12 Mar 2025

https://github.com/greatwoman23/my-paypal-project

The project is to build a fraud detection model using the dataset that has been provided and in doing so, increase revenue from transaction fees.

credit-card credit-card-fraud data-science dataset finance machine-learning python

Last synced: 01 Mar 2025

https://github.com/gss-18/fraud-detection

🚀 Credit Card Fraud Detection using Machine Learning & XGBoost. Evaluating models on an imbalanced dataset, using SMOTE, ROC-AUC analysis, and finding the best fraud detection approach. 📊🔍

classification credit-card-fraud data-science fraud-detection imbalanced-data machine-learning python sklearn smote xgboost

Last synced: 17 Mar 2025

https://github.com/ruban-edward/credit-card-fraud-detection

The increase in credit card fraud brought on by weaknesses in the system. We employ machine learning algorithms such as Logistic Regression, Decision Trees and Support Vector Machine. The accuracy results in detecting fraudulent transactions appears promising.

credit-card-fraud credit-card-fraud-detection decision-tree jupyter-notebook logistic-regression machine-learning support-vector-machine

Last synced: 12 Mar 2025

https://github.com/jigyasag18/credit-card-fraud-detection-using-machine-learning

This repository presents a credit card fraud detection system utilizing a Logistic Regression model trained on a dataset of 284,807 transactions with significant class imbalance. After employing under-sampling for balance, the model achieves a test accuracy of around 93.40%, showcasing the effectiveness of ML in identifying fraudulent transactions.

credit-card-fraud creditcardfrauddetection data dataset logistic-regression logisticregression machine-learning machine-learning-algorithms mlproject mlprojects

Last synced: 03 Apr 2025

https://github.com/vbhatsaccnt/credit-card-fraud-detection-mini-project

This is a mini project on the credit card fraud detection in collaboration with Technocolabs.

credit-card-fraud data-science heroku-deployment internship-task machine-learning

Last synced: 24 Feb 2025

https://github.com/mayankyadav23/credit-card-fraud-detection

A project to detect fraudulent credit card transactions using Machine Learning models integrated with a Flask web app🌐. Includes data preprocessing, EDA, and models like Logistic Regression and Random Forest for accurate predictions🧠. Deployable, user-friendly, and powered by Python!

credit-card-fraud flask machine-learning python-notebook

Last synced: 22 Feb 2025

https://github.com/abhinav330/credit-score-classification-problem

This project aims to analyze credit card customer data, clean the dataset using libraries such as Pandas and NumPy then create a machine learning model using sklearn

credit-card credit-card-fraud credit-card-fraud-detection credit-risk credit-scoring data-science machinelearning numpy pandas python sklearn

Last synced: 03 Mar 2025

https://github.com/mohamedlotfy989/credit-card-fraud-detection

This repository focuses on credit card fraud detection using machine learning models, addressing class imbalance with SMOTE & undersampling, and optimizing performance via Grid Search & RandomizedSearchCV. It explores Logistic Regression, Random Forest, Voting Classifier, and XGBoost. balancing precision-recall trade-offs for fraud detection.

classic-machine-learning credit-card-fraud ensemble-learning fraud-detection grid-search-hyperparameters hyperparameter-tuning imbalanced-data logistic-regression precision-recall random-forest randomizedsearchcv smote threshold-tuning undersampling voting-classifier xgboost

Last synced: 30 Mar 2025

https://github.com/dakii24/credit-card-fraud-detection

This repository contains a machine learning project focused on detecting fraudulent credit card transactions. The project includes data preprocessing, model training, and evaluation to identify and prevent fraudulent activities.

capstone-project class-imbalance classification-algorithm credit-card credit-card-fraud data-science decision-trees fraud machine-learning open-data python scikit-learn svm svm-classifier

Last synced: 07 Mar 2025

https://github.com/noeyislearning/credit-card-fraud

This project analyzes credit card transactions in the western U.S. to detect fraud. It utilizes a dataset with detailed transaction info including date, time, merchant, purchase type, amount, customer location, and fraud status. The goal is to enhance security measures and ensure customer trust.

credit-card-fraud data-analysis data-science jupyter-notebook python3

Last synced: 27 Mar 2025

https://github.com/msikorski93/credit-card-fraud-detection

A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.

adasyn balanced-bagging binary-classification class-imbalance-handling credit-card-fraud f1-score k-means k-nearest-neighbors light-gradient-boosting-machine logistic-regression naive-bayes near-miss random-oversampling random-undersampling resampling-methods smote-enn tensorflow

Last synced: 18 Mar 2025