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Could you share your approach to developing a demand forecasting model for a ride-sharing service? What data sources and factors would you consider in this process?

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Data Analyst
Marketer
General
ML System Design

Structure your answer into data collection, feature engineering, model selection, and evaluation sections, with emphasis on time-series components.

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Very hard Difficulty

Very-hard questions are the ultimate test of your expertise and preparation. They demand not just knowledge, but creativity and strategic thinking, often addressing unique or highly technical aspects of your field.

ML System Design question

ML System Design questions evaluate your ability to architect end-to-end machine learning solutions. Explain your approach to data pipelines, model training, deployment infrastructure, and how you handle scalability and maintenance challenges.

Leaderboard for Ride-Sharing Demand Forecasting Approach?”