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Frost predictions in ecuatorian Andes using Machine Learning algorithms

This projects was developed as part of the Master in Big Data and Data Science from Universidad Internacional de Valencia, during the summer of 2021. This repository contains the processing steps followed to use data from 14 meteorological stations in the region of Tungurahua to predict average temeprature and relative humidity in 24h.