Lending Club Case Study

We have the datadump of customer loan accounts from a Loan Club company for the year 2007 - 2011. Analyse the data and present notable causes for loan defaulting.

Table of Contents

• General Info
• Technologies Used
• Conclusions
• Acknowledgements

General Information

• Apply EDA and python plotting libraries to solve an problem for a Lending Club Company.
• This project is mainly intend for applying the EDA principles.
• The customer needs to understand what isn the primary cause of loan defaulting.
• The dataset contains loan custmers data for the approved loans issued from year 2007 - 2011. It has the data for all the loan statuses.

Conclusions

• Higher interest rates cause most of the loan defaulting.
• Grade G has the most number of defaulters.
• Grade G has the highest average interest rates.
• Maximum number of defaulters were issued loan between 5000-10000

Technologies Used

• python pandas - version 1.3.4
• python matplotlib - version 3.4.3
• python seabon - version 0.11.2

Acknowledgements

Give credit here.

• This project was inspired by upgrad EDA course
• References : Aditya B from upgrad
• This project was based on this tutorial.

Contact

Created by [@explorer-sreek] - feel free to contact me!