Exploratory Data Analysis (EDA) and Machine Learning on an Air Quality Dataset using Python. Includes data visualization, data preprocessing, Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, K-Nearest Neighbors (KNN), and Decision Tree Classification to analyze and predict air quality parameters.
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