Data Science

What practices should data science teams avoid?

The question is about Data Science .

Answer:

Don’t start projects with just model-building if you don’t also have plans to collect data, clear evaluation metrics, and a way to put solutions into production. Better tools cannot make up for a lack of direction.

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Cortance 5-star rating on ClutchCortance 5-star rating on GoodFirms
Catherine Ilaschuk
Marketing Assistant

Cortance delivered a functional, stable system on time, receiving positive feedback from the end client. The team was responsive to feedback and quickly resolved issues, communicating via virtual meetings, emails, and messaging apps. Their proactive approach impressed the client.

Clutch
5.0/5.0
Maksim Robochyi
CEO

Thanks to Cortance's efforts, the client delivered the project on time. The team provided solid support and communicated primarily through virtual meetings, emails, and messaging apps. Their seamless integration and proactive problem-solving approach resulted in a positive partnership.

Clutch
5.0/5.0
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