2000pawan/Air-Pollution-Prediction
"Excited to share my latest project on LinkedIn! 🌬️ Introducing my air pollution prediction ML model deployed on Streamlit. With an impressive accuracy of 97% on training and 96% on testing data, this solution focuses on key pollutants: Sulfur Dioxide, Nitrogen Dioxide, and PM10. Remember, local AQI variations may be influenced by factor.
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Jupyter Notebook
License
MIT
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Last pushed
Jul 18, 2025
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