jiy15/Air-Quality-Analysis-and-Machine-Learning: 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.

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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