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:
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...
