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application-code

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- Generates synthetic datasets (temperature, heating load, humidity, PM2.5) with different sequences/patterns - Trains simple models for heating demand (regression) and air quality (regression/classification example) - Produces multiple plots: time series, rolling averages, scatter, correlation heatmap, forecast vs actual

  • Updated Dec 9, 2025
  • Python

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