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senamhi
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Reproducible code, data and results for a verification study of monthly temperature forecasting in the Peruvian Altiplano: multiple linear regression, random forest and a multilayer perceptron tested against climatology and persistence, replicated across eleven independent series
machine-learning time-series reproducible-research climate scikit-learn open-data peru nasa-power forecast-verification altiplano temperature-forecasting senamhi climatology-baseline
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Updated
Sep 9, 2026 - Python
Repositorio de prácticas y tareas para el curso de Ciencia de Datos Ambientales
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Updated
Oct 7, 2026 - Jupyter Notebook
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