The 4 P’s of Data Science Project Management
Last Updated on July 24, 2023 by Editorial Team
Author(s): Benjamin Obi Tayo Ph.D.
Originally published on Towards AI.
Plan, Prepare, Produce, and Publish your data science project
Image Source: Pexels
“By failing to prepare, you are preparing to fail” — Benjamin Franklin
This article will discuss the 4 P’s of data science project management: Plan, Prepare, Produce, and Publish. Good planning and preparation will not only improve productivity, but it will help avoid potential pitfalls and roadblocks that could be encountered during project execution.
Before building any machine learning model, it is important to sit down carefully and plan what you want your model to accomplish. Before delving into writing code, it is important that you understand the problem to be solved, the nature of the dataset, the type of… Read the full blog for free on Medium.
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