Build Machine Learning Models for Fintech

In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.

Aplicação de Machine Learning em Modelos de Credit Scoring

Prédiction du risque qu'un demandeur de prêt fasse défaut.

Credit Scoring, R, Logistique régression, Random Forest

Python credit scoring model (ft. Covalent HQ) / off-chain encryptor toolkit

La importancia de reducir el riesgo crediticio ha llevado a una institución financiera alemana a buscar soluciones innovadoras. Como científicos de datos, hemos sido convocados para construir un modelo de machine learning preciso y confiable que sea capaz de evaluar con mayor precisión la probabilidad de incumplimiento crediticio de sus clientes.

A comprehensive study and hybrid approach to enhance fairness and accuracy in credit scoring using machine learning.

Smart contract to store and query credit scores on blockchain: Rust for NEAR Protocol / Solidity for Polygon Mumbai

In this project, the aim is to build a predictive model for income classification. The goal of this model is to predict whether an individual's income is above or below a certain threshold, based on various demographic and financial features. The model will be trained on a historical dataset and evaluated based on its accuracy

Development of a machine learning-based system to predict the credit risk of a customer applied to a simple prototype.

Credit Scoring (Banking & Financial Services) Supervised Classification

Variational Autoencoder (VAE) Analysis on German Credit Dataset Using Google Colab

This repo is for Rakamin Group 4 (pd.give_insight(✨)) Final Project

AI loan underwriting platform for credit-invisible rural India. Docker microservices with FastAPI, LightGBM, 45-feature pipeline from SMS/contact/location data. 99% faster (14 days → 60s), 98% cheaper (₹450 → ₹8). Production-ready with PostgreSQL, Redis, Prometheus monitoring.

This project analyzes DeFi wallet credit scores by exploring key behavioral and financial features. It includes feature importance, score distribution, and insights to understand creditworthiness in decentralized finance systems.

API to determine Credit Card Approval

seeCredit is an API to enable anyone to see the credit worthiness of an entity which can be a person, an organization, a company etc provided they feed a set of predetermined datapoints

Modèle de prédiction de défaut de payement (Crédit Scoring)