Team Data Science Process

The TDSP process model provides a dynamic framework to machine learning solutions that have been through a robust process of planning, producing, constructing, testing, and deploying models. Here is an example of the TDSP process:

Credit: https://docs.microsoft.com/en-us/azure/machine-learning/data-science-process-overview

The process is loosely divided into four main phases:

• Business Understanding

• Data Acquisition and Understanding

• Modeling

• Deployment

The phases are described in the following paragraphs.

Business understanding

The Business understanding process starts with a business idea, which is solved with a machine learning solution. The business idea is defined from the business perspective, and possible scenarios are identified and evaluated. Ultimately, a project plan is generated for delivering the solution.

Data acquisition and understanding

Following on from the business understanding phase is the data acquisition and understanding phase, which concentrates on...