In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.
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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.
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SKLEARN-Credit Risk Prediction Using Logistic Regression Model, ML, Confusion Matrix, classification Report
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.
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
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.
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