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

Your score from clubs.moneysavingexpert.com/creditclub

Get you credit score from noddle.co.uk in your CLI

Projeto autoral com o objetivo de treinar um modelo de machine learning para concessão de crédito, que classifica clientes em duas categorias: bons pagadores ou inadimplentes, com base em dados históricos e variáveis financeiras.

A Python based analysis which develops an algorithm for credit score calculation based on two datasets

This program prompts students to input their pass, defer, and fail credits and predicts their academic progression. It displays the outcome with a vertical histogram and saves the input data as a text file.

SKLEARN-Credit Risk Prediction Using Logistic Regression Model, ML, Confusion Matrix, classification Report

This project focuses on analyzing bank and credit data to develop a hypothetical credit score and uncover hidden patterns. Through thorough Exploratory Data Analysis (EDA) and strategic feature engineering, the project identifies key factors influencing creditworthiness.

This repository encapsulates in-depth analyses with a primary focus on association rules

Credit Score Classification with Machine Learning

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.