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deveid/Tanzania-Water-system

Domain:

environment and energygeospatial
Creator:
dev
Host:
# Tanzania-Water-system The data used here comes from the Taarifa waterpoints dashboard, which aggregates data from the Tanzania Ministry of Water. Our goal is to predict the operating condition of a waterpoint for each record in the dataset. Motivation: An understanding of which waterpoints will fail, can improve maintenance operations and ensure that clean, potable water is available to communities across Tanzania. Here, I used XGBClassifier and Xgboost(logistic regression) to predict the functionalities and classifier was more better than regression. Tools Used include: Python, sckit-learn, matplotlib, numpy