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.gitignore
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DecisionTreeRegressor.ipynb
DecisionTreeRegressor.ipynb
 
 
Extract_combine.py
Extract_combine.py
 
 
Html_script.py
Html_script.py
 
 
KNearestNeighborRegressor.ipynb
KNearestNeighborRegressor.ipynb
 
 
KNeighborsRegressor_model.pkl
KNeighborsRegressor_model.pkl
 
 
LICENSE
LICENSE
 
 
LassoAndRidgeRegression.ipynb
LassoAndRidgeRegression.ipynb
 
 
LinearRegression.ipynb
LinearRegression.ipynb
 
 
Plot_AQI.py
Plot_AQI.py
 
 
README.md
README.md
 
 
RandomForestRegressor.ipynb
RandomForestRegressor.ipynb
 
 
TPOT AUTOML.ipynb
TPOT AUTOML.ipynb
 
 
XgboostRegressor.ipynb
XgboostRegressor.ipynb
 
 
decision_regression_model.pkl
decision_regression_model.pkl
 
 
lasso_regression_model.pkl
lasso_regression_model.pkl
 
 
regression_model.pkl
regression_model.pkl
 
 

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AirQuality-Index-Project

A Project on prdiction of Air Quality index from Data Collection, Data Pre-processing and applying Machine Learning Algorithms- Linear, Ridge and Lasso, Decision Tree, Random Forest, KNN, XGBoost

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A Project on prediction of Air Quality index from Data Collection, Data Pre-processing and applying Machine Learning Algorithms- Linear, Ridge and Lasso, Decision Tree, Random Forest, KNN, XGBoost...... AND applied TPOT just to see it work. *_*

Topics

air-qualityanndecision-treeknnlinear-regressionlogistic-regressionrandom-forestridgexgboost

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