This project focuses on analyzing and classifying air quality levels based on environmental and pollution-related parameters. Using machine learning classification models, we aim to predict air quality categories and gain insights into contributing factors such as temperature, humidity, population density, and pollutant concentrations.

Tools & Libraries : Python, Google Colab, Pandas, Numpy, Seaborn, Matplotlib, Scikit-Learn, XGBoost.