Harnessing LSTM neural networks, this project forecasts carbon emissions from historical data. Through streamlined preprocessing, dynamic modeling, and vivid visualizations, it transforms raw data into actionable, exportable insights for impactful environmental analysis and decision-making.
☆28Jun 5, 2025Updated last year
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