Which of the following items should be included in a handover to the end user to enable them to use and run a trained model on their own system?…

A handover is the process of transferring the ownership and responsibility of an ML system from one

party to another, such as from the developers to the end users. A handover should include all the

necessary information and resources that enable the end users to use and run a trained model on

their own system. Some of the items that should be included in a handover are:

Link to a GitHub repository of the codebase: A GitHub repository is an online platform that hosts the

source code and version control of an ML system. A link to a GitHub repository can provide the end

users with access to the latest and most updated version of the codebase, as well as the history and

documentation of the changes made to the code.

README document: A README document is a text file that provides an overview and instructions for

an ML system. A README document can include information such as the purpose, features,

requirements, installation, usage, testing, troubleshooting, and license of the system.

Sample input and output data files: Sample input and output data files are data files that contain

examples of valid inputs and expected outputs for an ML system. Sample input and output data files

can help the end users understand how to use and run the system, as well as verify its functionality

and performance.