To predict whether a customer is interested in buying Credit Card or not given their details and relationship with the bank.
-
Updated
Jun 2, 2021 - Jupyter Notebook
To predict whether a customer is interested in buying Credit Card or not given their details and relationship with the bank.
[MOVED TO GITLAB] 1st Fundamentals of Programming Project - 2014'15
💳 A quick and easy flip view Android library through which you can create views with two sides like credit cards, poker cards etc.
Classifying of fraudulent credit card transactions so that customers are not charged for items they did not purchase.
A fraud detection model for credit card transactions implemented in Python using a Random Forest classifier. Safeguard your finances and online purchases!
It's a project which detects fraud credit cards.
Credit card approval predictor using Logistic Regression
Kotlin application leveraging Jetpack Compose to displays a list of credit cards.
The Malicious framework is made of php and javascript. For snifffed creditcards and accounts visit https://hackerlocal.us
Free WordPress Plugin: Free online credit card calculator that provides valuable information to users, including how to minimize debt and a credit payment calculator with recommended payment amounts. www.calculator.io/credit-card-payoff-calculator/
Inspired by https://www.vertex42.com/Calculators/credit-card-payment-calculator.html this module creates a credit card payment schedule. This is useful when trying to understand the total cost with paying off a credit card while making minimum payments.
FedaPay third party payment gateway module for WHMCS (https://www.whmcs.com/)
Compare different classification models to predict the accuracy of identifying credit card transactions as normal or fraud
Credit Card Management (Android Mobile Application)
This is part 6 of the Talk to your Credit Card series
Credit Card Fraud detection system using Kaggle dataset using Azure Automated Machine Learning
Add a description, image, and links to the credit-cards topic page so that developers can more easily learn about it.
To associate your repository with the credit-cards topic, visit your repo's landing page and select "manage topics."