creditcardfrauddetection

sayaliwalke30/Kaggle-Projects

This repo contains 4 different projects. Built various machine learning models for Kaggle competitions. Also carried out Exploratory Data Analysis, Data Cleaning, Data Visualization, Data Munging, Feature Selection etc

devrajkataria/Credit-Card-Fraud-Detection-ML-WebApp

habib-developer/Credit-Card-Fraud-Detection

Credit Card Fraud Prediction in ASP.NET Core using ML.NET

promptapi/bin-checker-go

Golang wrapper for Prompt API's BIN Checker API

riz4d/CreditCard-Validator

Creditcard validator by Using Luhn's algorithm to verify the validity of credit card numbers. It also fetches credit card number data from datasets for testing and analysis.

Nehadsys/credit-card-fault-detection

This repository contains an implementation of credit card fault detection using Luhn's algorithm. Luhn's algorithm is a checksum formula used to validate credit card numbers, as well as other identification numbers. The algorithm is based on performing a set of arithmetic operations on the digits of a given number, resulting in a checksum value.

isinsuarici/Credit-Card-Fraud-Detection

m0h1t98/Credit_Card_Fraud

This is a classification problem to detect or classify the fraud with label 0 or 1. Class with label 1 means fraud is detected otherwise 0. The biggest challenge is to handle the imbalanced data set.

promptapi/bin_checker_rb

Ruby package for Prompt API's BIN Checker API

Rahulraj31/Prediction-of-credit-card-defaults

Technocolabs Machine Learning Developer Internship Project 2

ab-aruneswaran/CREDIT_CARD_FRAUD_DETECTION

Implementation of an intelligence system to detect the fraud cases on the basis of classification.

Akankhya-Mohapatra/ML-dive

Classifying fraudulent transactions using K-Means SMOTE and ANN

narendramall/CreditCardFraudDetection

CreditCardFraudDetection

wendyminai/Credit-Card-Fraud-Detection

This project aims at creating a classifier. It detects whether or not the card transaction is valid. Diverse machine learning algorithms are applied in this project to distinguish between a non-fraudulent and fraudulent transactions.

Akshay6045/Detection-of-Business-Anomalies-using-Autoencoders

The objective of this project is to develop and utilize autoencoders for detecting anomalies in credit card transactions.

Asalvs/Credit-Risk-Classification

This project uses logistic regression models to analyze credit risk. The recommended model, trained with resampled data, shows higher precision and recall scores for predicting high-risk loans. This model helps mitigate credit risk for lending companies.

at-akshat-2107/Credit-Card-Fraud-Detection-Capstone-Project-EPGP

In this Upgrad/IIIT-B Capstone project, we navigated the complex landscape of credit card fraud, employing advanced machine learning techniques to bolster banks against financial losses. With a focus on precision, we predicted fraudulent credit card transactions by analyzing customer-level data from Worldline and the Machine Learning Group.

cybboysamrat/CreditCardFraudDetectionSystem

the application of an intelligence system to classify and identify fraud situations.

divyabharathynadar/CODSOFT

Titanic Survival Prediction, Movie Rating Prediction With Python, Iris Flower Classification, Sales Prediction Using Python, Credit Card Fraud Detection

Gianluca124/Knime_Classification_Credit-Card-Fraud-Detection

Use of different classification models to detect credit card frauds

ItsTrixl/Credit-Card-Fraud-Detection

Credit Card Fraud Detection is a crucial machine learning project with profound implications. It aims to safeguard financial transactions by identifying fraudulent activities. Leveraging advanced algorithms and historical transaction data, this project analyzes patterns and anomalies in credit card usage.

maskbit/creditcard-fraud-detection

Machine Learning for Credit Card Fraud Detection

Neill-Erasmus/credit-card-fraud

Using a self organizing map (SOM) to identify frauds in the credit card application process.

NISHITA322/CODSOFT

Data Science Internship at CodSoft

promptapi/bin-checker-pkg

NPM package for Prompt API's BIN Checker API

qvunguyen/credit-card-fraud-detection

It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

SC2003/Credit-Card-Fraud-Detection-System

Credit-Card-Fraud-Detection-System - 6th Semester College Project

Shivabajelan/credit-risk-classification

The aim of this project is to use the logistic regression mode as a binary classifier to analyse credit card risk. The recommended model helps to predict the high-risk cases. The accuracy, precision, and recall metrics are used to evaluate this model performance.

TusharPanchal09/CodeClause_Credit_Card_Fraud_Detection

This Python script uses machine learning models to detect fraudulent credit card transactions in a dataset. The dataset is loaded using the pandas library and preprocessed for machine learning by removing irrelevant features and rescaling the data.

bhairavi-chauhan/Machine-Learning-Projects

This repository contains all my Machine Learning projects.

jagadeeshm007/Credit_Card_Fraud_Detection

Credit Card Fraud Detection using ML

muhammadfaizanhassan/CreditCardFraud

Credit card fraud is a significant global issue, posing challenges for financial institutions due to the low incidence of fraud amid a high volume of legitimate transactions.

sreesathiya175/codsoftai

contains project related to python