credit-card-fraud-detection
There are 141 repositories under credit-card-fraud-detection topic.
ML-Project-21-Classification-Project-WebApp
A web app featuring five classification projects: Spam Mail Prediction, Titanic Survival Prediction, Wine Quality Prediction, Loan Status Prediction, and Credit Card Fraud Detection, all built with Streamlit.
Encryptix-Projects
This repository contains three machine learning projects completed during the internship at Encryptix: Titanic Survival Prediction, Sales Prediction, and Credit Card Fraud Detection. Each project includes data preprocessing, exploratory data analysis, model building, and evaluation steps.
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.
Credit-Card-Transactions-Fraud-Detection-by-Afame-Technologies
🛡️ Welcome to our Credit Card Fraud Detection project! 💳 Harnessing the formidable prowess machine learning, we're steadfast in our mission to fortify your financial stronghold against deceitful adversaries. Join our crusade for financial resilience,Ensuring every transaction is securely monitored! 🔐💯
CODSOFT
This Repository contains the 3 projects that I completed during my Machine Learning Internship with CODSOFT.
Credit-Card-Fraud-Detection
Machine Learning based Credit Card Fraud Detection
Credit-Card-Fault-Detection
Used Gaussian Naive Bayes Classifier and XG Boost Classifier for Credit Card Fault Detection
credit-Card-Fraud-Detection
An application which uses different algorithm for detecting Fraud Transactions.
Feature-Engineering-For-Credit-Card
My implementation of the paper "Feature engineering strategies for credit card fraud detection"
Credit-Card-Fraud-Detection
Credit Card Fraud Detection using Extreme Gradient Boosting
Credit-Card-Fraud-Detection-using-Logistic-Regression-
Credit Card Fraud Detection using Logistic Regression with Hyper Tuning
Credit-Card-Fraudulent-Detection
Credit Card Fraud Detection System built using Python. The system utilizes machine learning algorithms to detect fraudulent transactions from a given dataset.
Credit-Card-Fraud-Detection
Credit Card Fraud Detection
credit-card-fraud-detection
A machine-learning project on detection of fraudulent credit card transactions.
FraudesEmCartoesCreditoML
💳 Detectando transações fraudulentas em cartões de crédito com scikit-learn, utilizando modelos de classificação.
credisafe
Credit Card Fraud Detection System using Python by implementing KNN and K-means
Credit-Card-Fraud-Detection
Credit Card Fraud Detection using Decision tree and Support vector machine.
Comparative-Study-of-Classification-Techniques-on-Credit-Defaults
A comparative study among six different Machine- Learning models for their accuracy in predicting the target class as well as their accuracy for predicting the probability of an individual belonging to the predicted class from the perspective of risk management.
Credit-Card-Fraud-CapstoneProjectIBM
Predicting Credit Card Fraud Using Machine Learning Algorithms
Fraud-Detection
Fraud Detection
Predict_TO_Give_Credit_Card_OR_Not_Logistic_Regression
This Repo contains Code and DataSet used with Results findout. I have used Logisitic Regression with Regulariztion, Plotted Graphs for Classfication applied Newton-Raphson Method .
credit-card-fraud-recognition-udacity
Credit card fraud recognition using two different approaches: autoencoders and random forests. This was the capston project that I have developed for the Machine Learning Engineer Nanodegree at Udacity.
Credit-Card-Fraud-Detection
Applied undersampling and oversampling using SMOTE.
Data-Mining_Credit-Card-Fraud-Detection
To solve two main issues in credit card fraud detection - skewness of the data and cost-sensitivity
Machine-Learning-Final-Year-Projects-GitHub
Machine learning final year-projects GitHub Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Credit-Card-Fraud-Detection
Credit Card Fraud Detection using Machine Learning and AutoEncoders
Credit-Card-Fraud-Detection
Credit card fraud detection using machine learning with a focus on imbalanced data and high accuracy.
Credit-Card-Fraud-Detection-Using-Machine-Learning
The Credit Card Fraud Detection project utilizes machine learning algorithms to identify and prevent fraudulent credit card transactions. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Credit_Card_Fraud_Detection
A project leveraging Generative Adversarial Networks (GANs) to generate synthetic data for credit card fraud detection, tackling data imbalance and enabling effective machine learning model training.
Credit-Card-Fraud-Detection
Credit card fraud detection using XGBoost Classifier and GridSearchCV hyperparameter tuning.
Data_Science_Projects_2
This repository was created for my Data Science Project (Credit Card Fraud - Anomaly Detection).
credit_card_fraud_Detection
Machine learning model for Credit Card Fraud Detection
credit-card-fraud-detection
Credit Card Fraud Detection using data preprocessing, analysis, visualization, and machine learning to accurately identify fraudulent transactions. -Final Project
Credit-Card-Fruad-Detection-Model
This project uses a dataset of credit card transactions to detect fraud using machine learning algorithms such as random forest, XGBoost, and gradient boost. MLflow is integrated to track experiments and manage models efficiently.
CODSOFT
This repository contains three machine learning projects: Sales Prediction, Titanic Survival Prediction, and Credit Card Fraud Detection. Full executive summaries can be accessed via google drive inside the repository.