GitHub - 805karansaini/AQI_Pre_v2: AQI Predictor V2 use multiple Supervised Machine Learning with Hyper tuning. ML algorithms used Linear Regressor, Lasso Regressor, Decision Tree Regressor, Random Forest Regressor, XGboost Regressor. The Model deployed on web and can predict AQI visit https://aqipredictor.up.railway.app/

AQI_Pre_v2

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
Data		Data
Models		Models
__pycache__		__pycache__
templates		templates
venv		venv
AQI_Ploter.py		AQI_Ploter.py
AQI_data_cleaning.ipynb		AQI_data_cleaning.ipynb
Decision_tree.ipynb		Decision_tree.ipynb
Feature_Extraction_combine.py		Feature_Extraction_combine.py
Linear_Lasso_Regression.ipynb		Linear_Lasso_Regression.ipynb
Procfile		Procfile
README.md		README.md
Random_Forest_Regressor.ipynb		Random_Forest_Regressor.ipynb
XGboost.ipynb		XGboost.ipynb
main.py		main.py
requirements.txt		requirements.txt
web_scrapper.py		web_scrapper.py