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.
[MACHINE LEARNING] Comparing Algorithms for Credit Risk Analysis in Banking
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.
This template contains various assignments on machine learning.
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