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Create ReadMe.md
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Description
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Using Models like Random Forest Regression, Air quality index is predicted based on attributes if the dataset.The model is deployed using streamlit for user interaction
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Steps:
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1. cd Air Quality Index Prediction
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2. streamlit run app.py
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Requirements(Ignore if installed):
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1.pip install pandas numpy streamlit scikit-learn
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Frontend:(Flask API)
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![Screenshot 2023-08-01 142715](https://github.com/avinashkranjan/Amazing-Python-Scripts/assets/74114936/e9ce2045-03c4-4566-9e24-e3f714d7edb3)
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![Screenshot 2023-08-01 142728](https://github.com/avinashkranjan/Amazing-Python-Scripts/assets/74114936/764fee7f-302a-4377-a0d6-436f80281fa9)
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89-ed4dc6e3c603)
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SideBar to display Label Encoder Mappings for the categorical column CITY
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![Screenshot 2023-08-01 142413](https://github.com/avinashkranjan/Amazing-Python-Scripts/assets/74114936/06e92ff4-a164-4c53-a95e-25d811ef1441)
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Backend(Random Forest Regression):
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![Screenshot 2023-08-01 143044](https://github.com/avinashkranjan/Amazing-Python-Scripts/assets/74114936/bd808247-b4ac-4f54-b503-c9e46c885d75)
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