**YouTube** is an American [online video-sharing](https://en.wikipedia.org/wiki/Video_hosting_service "Video hosting service") [platform](https://en.wikipedia.org/wiki/Web_platform "Web platform") headquartered in [San Bruno, California](https://en.wikipedia.org/wiki/San_Bruno,_California "San Bruno, California")

cf3f59da-c081-4fab-99d2-f02e60e183b0.PNG

This activity can be used to easily incorporate credit grant assessment into your automation.

Qualifying for the different types of credit hinges largely on your credit history. This activity boasts a pre-trained machine learning model which utilizes historical public credit data by world bank.

Given a set of credit request details (input parameters or features), it can predict if that particular credit request can be Approved or Rejected based on what it has learned from the historical training data.

Pre-trained machine learning model to effectively assess credit grant requests that can be incorporated to automation.

Intelligent Credit Assessor - CREsselle