A deep learning project on stock index prediction using Gated RNN with TPE-Bayesian optimization for hyperparameter tuning
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Updated
Oct 20, 2024 - Jupyter Notebook
A deep learning project on stock index prediction using Gated RNN with TPE-Bayesian optimization for hyperparameter tuning
Official repository for the ParDeeB framework and the Shahrekord Energy Dataset: A high-resolution 4-year hourly benchmark (30,000+ samples) featuring 23 meteorological and temporal determinants for short-term load forecasting.
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