Project Name

Lending Club case study submiited by Sindhu N Kurup , Upgrad batch - ML C51 ACP NLP

Table of Contents

• General Info
• Technologies Used
• Conclusions
• Acknowledgements

General Information

Lending Club is a largest online loan marketplace, facilitating personal loans, business loans, and financing of medical procedures. Borrowers can easily access lower interest rate loans through a fast online interface.The company wants to understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.This information would be used the firm to manage the credit loss.

Conclusions

• Refer inference section in the pdf in the same folder

Technologies Used

• Python 3.9.16
• numpy Version 1.24
• matplotlib Version 3.7.1
• pandas Version: 2.0.1
• re
• seaborn

Acknowledgements

Give credit here.

• This project was inspired by EDA leactures , videos by Upgrad
• References -loan.csv , data dictionary that was shared as part of case study
• This project was based on Exploratory Data Analysis.

Contact

Created by [@sindhunk523] - feel free to contact me!