Delhi AQI Analysis & Prediction
Consolidated multi-source Delhi air-quality data covering 7 pollutants (PM2.5, PM10, NO2, SO2, CO, O3, NH3), resolving missing values, outliers, and inconsistent entries to create a model-ready data set. Performed exploratory, correlation, and trend analysis to identify the key drivers of pollution levels. Built a multi-class AQI classification model (Good / Moderate / Unhealthy) in Python using these insights, supporting environmental-monitoring decisions.
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