Skip to content

Credit risk analysis determines a borrower's ability to meet debt obligations and the lender's aim when advancing credit. The goal is to identify patterns that indicate if a person is unlikely to repay the loan or labeled as a bad risk through automated machine learning algorithms.

Notifications You must be signed in to change notification settings

novrizalrnd/credit_risk_analytics

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Credit Risk Analytics in Financial Services Firm (Study Case: ID/X Partners)

Introduction

This notebook was made as a Project-Based Internships at ID/X Partners

Problem Statement

Lending loans to ‘bad risk’ applicants is the largest source of financial loss. Credit loss is the amount of money lost by the lender when the applicant refuses to pay or runs away with the money owed.

Goals and Objective

Identify patterns that indicate if a person is unlikely to repay the loan or labeled as a bad risk through automated machine learning algorithms.

Dataset Information

This dataset has 466,285 rows dan 75 columns

Results:

image image

About

Credit risk analysis determines a borrower's ability to meet debt obligations and the lender's aim when advancing credit. The goal is to identify patterns that indicate if a person is unlikely to repay the loan or labeled as a bad risk through automated machine learning algorithms.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published