Data-Driven Solutions to Environmental Challenges: Predicting and Managing Pollution with Machine Learning
Data-Driven Solutions to Environmental Challenges: Predicting and Managing Pollution with Machine Learning Data science is playing an increasingly vital role in tackling complex environmental challenges, particularly in urban settings where pollution and resource management are major concerns. One especially promising area is the use of machine learning to predict air pollution levels. With growing volumes of data from satellites, ground sensors, traffic feeds, and weather stations, it’s now possible to develop predictive models that track and forecast concentrations of pollutants like PM2.5, nitrogen dioxide, and ozone with remarkable accuracy. The…
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