Data visualization provides a good, organized pictorial representation of the data which makes it easier to understand, observe, analyze.In this Pproject, we will provide codes for visualizing data using Python.
Python app which will give the last digit of credit card breaking the masking method.
📊 Streamline data collection and analysis with an integrated system that processes, stores, and visualizes reports through Excel, Python, and Power BI.
Веб-приложение на Python для учёта кредитов и удобного планирования платежей
Credit Card Fraud Detection using KNN and K-means
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.
Full toolkit for credit risk monitoring/validation
Mortgage Credit Risk Predictor: Random Forest model for default prediction, integrated into a Streamlit application to demonstrate model explainability (XAI) and regulatory compliance.
Experian internship project for calculating credit score.
CRediT Generator summarizes authors' contributions to a scientific paper in a standardized way for publication in a journal.
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.
generator credit card Visa and Mastercard
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.
API to provide optimal payment allocation for credit cards - optimal means less accrued interest rate
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