Credit scoring machine learning algorithm which predicts probability of default
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Updated
Nov 19, 2017 - Jupyter Notebook
Credit scoring machine learning algorithm which predicts probability of default
A decentralised credit scoring platform based on Multichain blockchain
Prior direction, kept rather than deleted. Signed, offline-verifiable receipts for AI agent actions, and a reference implementation of the OWASP Agentic Skills Top 10 AST09 receipt pattern. Nobulex is now the independent reliability registry for agent tools: github.com/arian-gogani/nobulex-registry
Implement supervised machine learning techniques in order to further understanding the process in which a client will be granted a credit and be denied a credit.
Generate realistic fake credit scores (FICO 8, VantageScore, etc.) for testing fintech, lending, and insurance applications. A Faker provider with tier-based generation and 10 scoring models.
A streamlit app on credit score classification
Feature Selection for Credit Scoring using Genetic Algorithm Wrapper(Information Gain)
Reverse engineering of the FICO algorithm
In this project, I used a dataset containing financial information and personal details of individuals to build and evaluate machine learning models to predict their credit scores. The credit score is an important metric that determines an individual's creditworthiness and ability to obtain loans.
Türkçe: Findeks kredi notu hesaplama sisteminin Python ile yapılmış basitleştirilmiş bir simülasyonu. English: A simplified simulation of the Findex credit scoring system built with Python.
An Exploratory Data Analysis was done on the Credit Card dataset using libraries in R . The EDA insights were used to create a report.
Hybrid Credit Score Calculation for DeFi Lending using Risc Zero zkVM
canvas实现类似支付宝信用分的效果(演示的是非模块版本的,codesandbox的index2.html是模块传参的)
A Flutter package
CredVibe is an ML credit scorecard system achieving 95%+ default recall with explainable predictions for loan risk assessment. Features KS/Gini validation, Optuna tuning, FastAPI + Streamlit deployment. Generates CIBIL-like scores, and converts to business rules for BRE integration.
This repo contains analysis of Lending Club Credit rates and also case study for a client to get a fully funded loan at the lowest credit rate with a desired duration.
US Credit Repair & Score Optimization Expert. Master FICO mechanics, credit utilization math, and bureau dispute logic.
Classification Model for Credit Score using Logistic Regression, Evaluation using AUC and KS
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