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Learn how to build a functional system to track indoor air quality, collect data using sensors, and implement a predictive approach to prevent health issues. This course teaches how to interact with air quality sensors using Python on microcontrollers, evaluate factors like humidity and CO2 levels, and create a predictive machine learning model. The intended audience for this course is individuals interested in monitoring and improving indoor air quality using Python and machine learning techniques.
