In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.
-
Updated
Mar 7, 2021 - Jupyter Notebook
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
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.
A Python based analysis which develops an algorithm for credit score calculation based on two datasets
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
O projeto tem como objetivo desenvolver um modelo para classificar clientes como bons ou maus pagadores, com base em dados financeiros e comportamentais. A previsão de crédito é essencial para instituições financeiras avaliarem o risco de inadimplência. Por esse motivo, decidi mostrar aqui como seria o meu modelo de machine learning de crédito =)
Add a description, image, and links to the creditscore topic page so that developers can more easily learn about it.
To associate your repository with the creditscore topic, visit your repo's landing page and select "manage topics."