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In creating a demand forecasting model for a ride-sharing service, which factors and data sources would you prioritize, and why? What steps would you take to validate the model and ensure its accuracy?

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Interview question asked to Data Scientists interviewing at Gusto, Bolt, PayPal and others: In creating a demand forecasting model for a ride-sharing service, which factors and data sources would you prioritize, and why? What steps would you take to validate the model and ensure its accuracy?.