TLDR
Abraham Enyo-one Musa Data Scientist and Technical Content Writer explains the different stages involved in building data science models. The term "Data Science" is one of the most common buzzwords that you can find on the internet today, but it tends to be a difficult concept to grasp. When done correctly, data science produces valuable insights and reveals trends that enterprises can leverage to plan strategically, optimize business processes, make better-informed decisions, create more innovative services and products. A typical data science lifecycle comprises several stages and what each stage involves.via the TL;DR App
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Written by abseejp | Data Scientist and Technical Content Writer
