Air Quality prediction
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Skills
About this project
Built and evaluated classification models (Logistic Regression, Gradient Boosting, Decision Tree, Random Forest) to predict air quality levels with 95% accuracy using Random Forest.
Conducted exploratory data analysis and visualized features to identify trends and correlation.