This project uses machine learning to forecast PM2.5 in the short term in an African context of data scarcity, by training a model on Lagos and projecting the results onto Cotonou from meteorological conditions, in order to produce estimates useful for environmental analysis and decision support.
# PM-2.5-et-Quality-of-air-to-Cotonou
This project uses machine learning to forecast PM2.5 in the short term in an African context of data scarcity, by training a model on Lagos and projecting the results onto Cotonou from meteorological conditions, in order to produce estimates useful for environmental analysis and decision support.