What is a data science POC? How to do it?

Often in data science, a capstone project is done for learning. Similarly at a corporate level, companies would like to do a project for their “learning”.

  1. Are there public datasets available that can be utilized for building a model?
  2. What is the scale of data and resources needed to execute the project?
  3. Viability of machine learning and data science to meet the business requirements?

So next time you pick up a capstone project for your learning, how about doing a POC for an SME?

Data Science POC or [Proof of Concept} is basically another way of understanding the feasibility or Viability of any Algorithm or Framework that needs to be deployed at scale. So this helps the various stakeholders justify and evaluate the resources that has been requested for the project and its intended impact on the output.