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

Credit Scoring, R, Logistique régression, Random Forest

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.

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

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

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

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

Mid Course Assessment - ML Case Study(Credit Scoring (Banking & Financial Services))

Using Financial Historical Data to determine consumer's creditworthiness. At the end, we obtain a credit score for decision making. Machine learning algorithms were utilized to come up with the scores.

Modèle de prédiction de défaut de payement (Crédit Scoring)

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