This paper will delve into the topic of "how various factors in the air affect the Air Quality Index (AQI)". Air quality is closely related to people's daily lives, and the air quality index, as an indicator to quantitatively assess the degree of air pollution, can intuitively reflect the health of the environment. Therefore, this study aims to use machine learning methods to analyze a large amount of historical data in the past, explore and quantify various factors that affect air quality, and then predict future air quality indexes.