Skip to content

The real estate sector can be very unpredictable and susceptible to a downturn in times of economic crisis. Whenever the economy suffers, the number of stressed assets can become a huge problem for housing finance companies. The bad debt and stressed assets result in a liquidity crunch and impact the banks that are lenders to both developers and…

Notifications You must be signed in to change notification settings

KChandanGITHUB/Bad-Debt-Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 

Repository files navigation

Bad debt Data anlysis & Prediction

The real estate sector can be very unpredictable and susceptible to a downturn in times of economic crisis. Whenever the economy suffers, the number of stressed assets can become a huge problem for housing finance companies. The bad debt and stressed assets result in a liquidity crunch and impact the banks that are lenders to both developers and property buyers. Timely risk analysis of these accounts can help lenders forecast the number and value of accounts that are at risk of developing into a Bad Debt in near future and eventually help them mitigate the losses.

Feature Selection, Hyper Parameter Tuning, Data Analysis, GridSearch. AUC ROC.

To view the codes, click on Jupyter notebook saved above.

About

The real estate sector can be very unpredictable and susceptible to a downturn in times of economic crisis. Whenever the economy suffers, the number of stressed assets can become a huge problem for housing finance companies. The bad debt and stressed assets result in a liquidity crunch and impact the banks that are lenders to both developers and…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published