Predict air quality (NO₂)

Guided regression project · 17 steps · Ridge · gradient boosting

About

Hourly multivariate sensor data from the UCI Air Quality repository. Values of -200 mark missing readings. Rows stay in time order: we evaluate with a time-based split so we do not train on the future to predict the past.

Data

CSV at /datasets/air-quality/AirQualityUCI.csv— semicolon-separated, European decimal commas. Target is ground-truth NO2(GT) (µg/m³); features are other pollutant and weather columns (date/time excluded). Source dataset is licensed under CC BY 4.0 with attribution to UCI.

Task

Complete TODOs top-to-bottom. Use hints first. Switch to Sample solution only when stuck.

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