📊 Streamline data collection and analysis with an integrated system that processes, stores, and visualizes reports through Excel, Python, and Power BI.

The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

Stripe Card Checker CLI | A sleek and efficient script for validating card details via Stripe API integration. With a 6-second delay to prevent rate-limiting, it delivers quick feedback on success, failure, or retry needs. Adaptable and user-friendly—join the discussion at discord.gg/rgWcEw5G8a! Note: API changes may require updates.

Mortgage Credit Risk Predictor: Random Forest model for default prediction, integrated into a Streamlit application to demonstrate model explainability (XAI) and regulatory compliance.

Python app which will give the last digit of credit card breaking the masking method.

Веб-приложение на Python для учёта кредитов и удобного планирования платежей

Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical variables.

Credit Score Provider for the Faker Python Project. Use this to generate fake but realistic-looking consumer credit scores aligning to the most prevalent risk models (FICO, VantageScore, etc.)

scorecardpipeline封装常用的风控策略分析和评分卡建模相关组件，支持pipeline式端到端评分卡建模、三方数据分析、规则集效果评估、特征有效性分析、excel报告输出、评分卡PMML导出、全流程超参数搜索等功能。核心功能：评分卡，策略分析，风控，规则挖掘，特征筛选，自动分箱

Full toolkit for credit risk monitoring/validation

symulacja kredytu mieszkaniowego

Transportation Fuels Reporting System

This Python script generates valid Payment Card Numbers (PANs) using a reverse-engineered Luhn algorithm. It's a command-line tool allowing specification of the desired suffix and length of the generated PAN. This tool is for educational and testing purposes only; misuse is strictly prohibited.

markdown syntax and credit system for software!

This project implements an end-to-end data pipeline designed to manage and analyze large-scale credit scoring data. Using AWS S3 as a scalable storage solution and Databricks for processing, the pipeline leverages the power of Apache Spark through PySpark and SQL Spark to handle data transformation and analysis efficiently.

CRediT Generator summarizes authors' contributions to a scientific paper in a standardized way for publication in a journal.

This project aims to predict credit risk for individuals applying for loans, classifying whether they will default based on features such as age, income, employment length, loan amount, interest rate, percentage of income, credit length, home ownership, and loan intent.

A small guide on credit card security, and ways hackers exploit them

generator credit card Visa and Mastercard