Tool demonstrating building credit risk models

This is a one layer neural network that predict whether a loan will be defaulted.

This repository contains machine learning codes for predicting loan defaults using Adaboost, randomForest and LightGBM

This project aims to predict credit risk for individuals applying for loans, classifying whether they will default based on features such as age, income, employment length, loan amount, interest rate, percentage of income, credit length, home ownership, and loan intent.

Decentralised Loan App Running On Local Ehtereum Blockchain

Predicting Loan Defaulters using various Classification Algorithms using Python (Numpy, Pandas, Sklearn, Matplotlib, Seabon)

Given features of the loan, predict whether a person will default or not? Every loan has a max_dpd column against it - it is the max of days past due on all installments of the loan. This is what defines if a loan has defaulted or not. You can look at 30 days past due as the definition of default. The problem statement is to design a model to pred…

Business Intelligence( BI) & Tableau

A simple sample program that will determine an applicant's eligibility for a loan.