Forecast bikes available at a station

Q: Forecast bikes available at a station

This question evaluates proficiency in time-series forecasting, feature engineering, handling temporal data splits, and incorporating operational constraints for predicting bike-share dock availability.

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Question

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Data Analysis / Forecasting Prompt

You are given historical Citi Bike (bike-share) trip and station status data. Each station has a fixed dock capacity.

Task: Build an approach to predict the number of bikes available at a specific station at a future time (e.g., 15/30/60 minutes ahead).

What to cover

How you would define the prediction target (label) precisely.
What features you would use (time-based, station-based, demand/supply signals, external data, etc.).
How you would split data for training/validation/testing given time dependence.
What baseline(s) you would start with and how you would evaluate the model.
How you would handle practical issues such as capacity limits, missing data, and unusual events.

Forecast bikes available at a station

Data Analysis / Forecasting Prompt

What to cover

Solution

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Forecast bikes available at a station

Overview

Data Analysis / Forecasting Prompt

What to cover

Solution

Comments (0)