GTVSOFT / Air-Quality-Prediction-Using-LSTM-NetworksLinks
This project uses an LSTM neural network to predict air quality (PM2.5) from synthetic time-series data. It includes data generation, normalization, model training, and prediction visualization. The results demonstrate how deep learning can forecast pollution levels
☆6Updated 3 months ago
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