Predict and classify Indian cities' seasonal Air Quality Index (AQI) categories using classical supervised machine learning models. Built with Python & Scikit-learn, this project implements SVM (RBF), Random Forest, and MLR pipelines, incorporating feature selection, multicollinearity (VIF) analysis, and feature ablation studies.
python data-science machine-learning random-forest scikit-learn eda classification support-vector-machine feature-engineering multicollinearity regression-analysis aqi-prediction feature-ablation
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Updated
Jul 20, 2026 - Jupyter Notebook