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sunspots

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azizdeniz890 / sunspot-time-series

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End-to-end time series analysis and forecasting of monthly sunspot numbers using classical machine learning and deep learning models, including linear regression, tree-based methods, and advanced PyTorch architectures.

data-science machine-learning ai deep-learning time-series scikit-learn advanced pytorch artificial-intelligence lstm xgboost forecasting lightgbm feature-engineering sun lstm-neural-networks time-series-forecasting stacked-lstm sunspots sunspot-analysis
  • Updated Dec 21, 2025
  • Jupyter Notebook

ljubogdan / solar-cycle-lstm

Star 0

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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