Topic: creditcardfrauddetection Goto Github
Some thing interesting about creditcardfrauddetection
Some thing interesting about creditcardfrauddetection
creditcardfrauddetection,Implementation of an intelligence system to detect the fraud cases on the basis of classification.
User: ab-aruneswaran
creditcardfrauddetection,Classifying fraudulent transactions using K-Means SMOTE and ANN
User: akankhya-mohapatra
Home Page: https://www.kaggle.com/mlg-ulb/creditcardfraud
creditcardfrauddetection,The objective of this project is to develop and utilize autoencoders for detecting anomalies in credit card transactions.
User: akshay6045
creditcardfrauddetection,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.
User: asalvs
creditcardfrauddetection,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.
User: at-akshat-2107
creditcardfrauddetection,
User: devrajkataria
creditcardfrauddetection,Titanic Survival Prediction, Movie Rating Prediction With Python, Iris Flower Classification, Sales Prediction Using Python, Credit Card Fraud Detection
User: divyabharathynadar
Home Page: https://github.com/divyabharathynadar/CODSOFT
creditcardfrauddetection,Credit Card Fraud Prediction in ASP.NET Core using ML.NET
User: habib-developer
creditcardfrauddetection,
User: isinsuarici
creditcardfrauddetection, 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.
User: itstrixl
Home Page: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
creditcardfrauddetection,Credit Card Fraud Detection using ML
User: jagadeeshm007
creditcardfrauddetection,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.
User: m0h1t98
creditcardfrauddetection,Machine Learning for Credit Card Fraud Detection
User: maskbit
creditcardfrauddetection,CreditCardFraudDetection
User: narendramall
creditcardfrauddetection,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.
User: nehadsys
creditcardfrauddetection,Using a self organizing map (SOM) to identify frauds in the credit card application process.
User: neill-erasmus
creditcardfrauddetection,Data Science Internship at CodSoft
User: nishita322
Home Page: https://codsoft.co.in/
creditcardfrauddetection,Golang wrapper for Prompt API's BIN Checker API
Organization: promptapi
Home Page: https://promptapi.com/marketplace/description/bincheck-api
creditcardfrauddetection,NPM package for Prompt API's BIN Checker API
Organization: promptapi
Home Page: https://promptapi.com/marketplace/description/bincheck-api
creditcardfrauddetection,Ruby package for Prompt API's BIN Checker API
Organization: promptapi
Home Page: https://promptapi.com/marketplace/description/bincheck-api
creditcardfrauddetection,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.
User: qvunguyen
creditcardfrauddetection,Technocolabs Machine Learning Developer Internship Project 2
User: rahulraj31
Home Page: https://credit-card-default-pre.herokuapp.com/
creditcardfrauddetection,Implementation of an intelligence system to detect the fraud cases on the basis of classification.
User: raviprakash11
Home Page: https://raviprakash11.github.io/CreditCardFraudDetectionSystem/
creditcardfrauddetection,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.
User: riz4d
creditcardfrauddetection,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
User: sayaliwalke30
creditcardfrauddetection,Credit-Card-Fraud-Detection-System - 6th Semester College Project
User: sc2003
Home Page: https://fraud-detect.web.app/
creditcardfrauddetection,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.
User: shivabajelan
creditcardfrauddetection,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.
User: tusharpanchal09
creditcardfrauddetection,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.
User: wendyminai
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