Python Code Performance of Machine Learning Models in Season

Published: 7 June 2024| Version 1 | DOI: 10.17632/78mztpjnf6.1
Contributor:
Andrew ToluTaiwo

Description

This code implements four machine learning models to predict volume of water consumed by urban poor households in dry and wet seasons

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Categories

Machine Learning, Geoinformatics, Water for Poverty Reduction

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