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https://github.com/pavankumarshridhar31/breathe-india-air-quality-prediction-insights-
https://github.com/pavankumarshridhar31/breathe-india-air-quality-prediction-insights-
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/pavankumarshridhar31/breathe-india-air-quality-prediction-insights-
- Owner: Pavankumarshridhar31
- Created: 2024-11-22T04:02:20.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-11-22T04:08:27.000Z (about 1 month ago)
- Last Synced: 2024-11-22T05:18:27.903Z (about 1 month ago)
- Language: Jupyter Notebook
- Size: 2.07 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
This project aims to analyze and predict air quality across various regions in India by leveraging air quality data. By using machine learning techniques, it provides valuable insights into pollutant levels, trends, and forecasts, helping individuals and policymakers take proactive measures to combat air pollution.
Key objectives of the project:
Data Exploration & Visualization: Perform extensive analysis to understand the air quality trends, sources of pollution, and geographical variations across India.
Predictive Modeling: Develop predictive models to forecast air quality indices, enabling future predictions based on a day data.
Air Quality Insights: Offer insights into pollutant patterns.
Performance Metrics:
Mean Squared Error (MSE): 23.22
R^2 Score: 0.9975
The model achieved excellent performance, with an R² score of 0.9975, indicating a near-perfect fit to the data. The Mean Squared Error (MSE) of 23.22 further shows that the model’s predictions are very close to the actual observed values.
