Air Quality Strategies, Exploratory Data Analysis using Machine Learning

Abstract

Now-a-days world is making tremendous
growth with the help of various technologies such as
advance computers, self-driving vehicles, and robot
based surgeries and many more. This technologies
putting adverse effect on environment which is leading
to polluting of natural resources such as AIR and
WATER. Already environmentalist warn world about
global warming which can trigger natural calamities
such as Earth quake or tsunamis. Polluted Air or water
can further degrade health condition or respiratory
disease patients such as asthma and lung infections and
this can affect normal people’s health. To reduce air
pollution government are taking extreme steps of
reducing all industrial equipment’s which are emitting
carbon. Carbon is the main enemy of harming ozone
layer which is playing important role in protecting
world from dangerous sunlight.The most challenging
and mysterious stage of qualitative research is data
analysis. As a result, understanding these processes is
critical for performing qualitative research as well as
reading, comprehending, and interpreting it. Using
exploratory data analysis (EDA), data visualization,
and data research, this project on the EPA's Air Quality
System (AQS) seeks to get comprehensive insights into
the air quality measurements and trends across diverse
locations and contaminants. In order to better
understand the dynamics of air quality, develop
policies, and make informed decisions, the research
analyzes the public AQS data to seek out patterns,
anomalies, and potential links in the data. Using
rigorous EDA approaches and compelling
visualizations, the project seeks to identify significant
findings about pollutant concentrations, temporal
fluctuations, spatial distributions, and potential
implications for public health and the environment. In
this application different ML algorithms are used for
air quality analysis. Machine learning techniques like
decision tree, random forest and support vector
machine are used for air quality analysis.