In this project, I've built a classification model to predict the probability of default value for a customer based on his credit history and deployed the same as a webapp in Heroku.
This project tackles the crucial challenge of assessing Credit Risk Management in banking. Using Supervised Machine learning, the goal is to predict the probability of default, providing insights into customers' creditworthiness by analyzing variables like account details, purchases, and delinquency information.
Probability of default using Machine Learning in R
This repository contains python code from scratch to develop the credit risk model for loan portfolio
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