## 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.