TLDR
Project management methodologies are commonly used to get projects done or a product (or referred as a tool) produced. They are, in general, processes and frameworks which break down the overall objective to individual tasks organised on a timeline. This can be adapted to be used to approach data science projects. Agile focus is not on what to do, but how to think: Agile is to plan, build, test, learn, repeat. Data scientists cannot make any sense out of the data unless they develop a basic understanding of it.via the TL;DR App
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Written by jnyh | perpetual student | fitness enthusiast | passionate explorer | https://github.com/jnyh
