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time-ser

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ljubogdan / solar-cycle-lstm

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This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.

tensorflow numpy machine scikit-learn keras pandas seaborn kaggle lstm solar matplotlib huber-loss-regression sunspots time-ser conv1d
  • Updated May 30, 2025
  • Jupyter Notebook

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