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S03E05 - Code quality for data science - with Laszlo Sragner

Half Stack Data Science

00:00

Common reasons ML projects fail

Laszlo lists simultaneous failure points—data quality, skills, ops, engagement—and their negative feedback loops that sink projects.

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