NU Bootcamp Module 20
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Updated
May 25, 2023 - Jupyter Notebook
NU Bootcamp Module 20
This project is about the analysis of credit risks of German Credit Data. Different classification models and preprocessing methods are used and compared.
Data Analysis project analyzing the characteristics of credit card borrowers. After the analysis, a classification model is built.
Comparing Machine Learning Algorithms for Credit Risk Analysis in Banking
Projeto de classificação desenvolvido em linguagem Python com objetivo de auxiliar uma instituição financeira a criar um programa de aconselhamento para clientes com altas probabilidades de inadimplência.
Decision_Trees_and_Random_Forests
Using customer credit data collected over the past 6 months, build a model to determine whether a customer will default on a credit loan.
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