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Why DS projects fail

1: Lack of Resources to Execute Data Science Projects Data science is an interdisciplinary approach that involves mathematicians, statisticians, data engineering, software engineers, and importantly, subject matter experts. Depending on the size and scope of the project, companies might deploy numerous data engineers, a solution architect, a domain expert, a data scientist (or several), business …

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