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🌍 AQI Prediction Dataset
This dataset contains air-quality measurements used for developing and evaluating a machine learning model for Air Quality Index (AQI) prediction.
📊 Dataset Information
The dataset contains air-pollution measurements including:
- PM2.5
- PM10
- NO
- NO2
- NOx
- NH3
- CO
- SO2
- O3
- Benzene
- Toluene
- Xylene
- AQI
- AQI Bucket
It also contains location and date information.
🎯 Purpose
The dataset was used for:
- Exploratory Data Analysis
- Feature selection
- Machine learning model development
- AQI prediction
For the AQI Predictor project, four pollutant features were selected for the final model:
PM2.5
PM10
CO
NO
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