# DATAFEST AFRICA DATATHON
This notebook contains the submission of Team Nsk.ai for the datafest africa datathon
## Team Members
- [x] Okamkpa Tobechukwu
- [x] Udoh Chigozie
- [x] Okala Ifeanyi
## TASK
You just got hired as a Data Scientist at Borrowme, a fintech playing in the lending space. The CEO tasks you with helping to revamp the lending process due to complaints from customers on the time the process takes.
The IT team has provided historical information containing the information of applicants and the status of their loan application process. You are expected to automate the process by building a machine learning model to predict the outcome of the lending process if the credit facility process was completed via e-process, that is E-Signed or not.