IEEE Style Citation: Soumyajit Chakraborty, Koustav Guha, “Air Quality Index Prediction with the Implementation of Linear Regression - A Technical Paper,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.8, pp.39-48, 2020.
MLA Style Citation: Soumyajit Chakraborty, Koustav Guha "Air Quality Index Prediction with the Implementation of Linear Regression - A Technical Paper." International Journal of Computer Sciences and Engineering 8.8 (2020): 39-48.
APA Style Citation: Soumyajit Chakraborty, Koustav Guha, (2020). Air Quality Index Prediction with the Implementation of Linear Regression - A Technical Paper. International Journal of Computer Sciences and Engineering, 8(8), 39-48.
BibTex Style Citation:
@article{Chakraborty_2020,
author = {Soumyajit Chakraborty, Koustav Guha},
title = {Air Quality Index Prediction with the Implementation of Linear Regression - A Technical Paper},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2020},
volume = {8},
Issue = {8},
month = {8},
year = {2020},
issn = {2347-2693},
pages = {39-48},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5194},
doi = {https://doi.org/10.26438/ijcse/v8i8.3948}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i8.3948}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5194
TI - Air Quality Index Prediction with the Implementation of Linear Regression - A Technical Paper
T2 - International Journal of Computer Sciences and Engineering
AU - Soumyajit Chakraborty, Koustav Guha
PY - 2020
DA - 2020/08/31
PB - IJCSE, Indore, INDIA
SP - 39-48
IS - 8
VL - 8
SN - 2347-2693
ER -
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Abstract
Within the last few years, an intense curiosity has been progressed by the people in the daily air quality circumstances to which they are encountered. Directed by the growing consciousness of the physical state of air pollution exposure, especially by most sensitive sub?populations such as children and the elderly, short?term air pollution forecasts are being accentuated progressively by local authorities. The Air Quality Index (AQI) is the value implemented to estimate the quality of the air at a certain location. The components are estimated with the implementation of the covariance of the input data matrix
Key-Words / Index Term
Air Quality Index, Linear Regression, Scikits Learn, Seaborn plot, Heat Map, Mean Absolute Error (MAE),Mean Squared Error(MSE),Root Mean Squared Error (RMSE),Pickle
References
[1] https://seaborn.pydata.org/generated/seaborn.heatmap.html. Heat Map correlation and plotting
[2] https://seaborn.pydata.org/introduction.html. Implementation of Seaborn Library module
[3] https://en.tutiempo.net/climate/india.html. Dataset has been downloaded from this website and implemented for Research
[4]https://www.datacamp.com/community/tutorials/pickle-python-tutorial?utm_source=adwords_ppc&utm_campaignid=10267161064&utm_adgroupid=102842301792&utm_device=c&utm_keyword=&utm_matchtype=b&utm_network=g&utm_adpostion=&utm_creative=332602034358&utm_targetid=aud-299261629574:dsa-429603003980&utm_loc_interest_ms=&utm_loc_physical_ms=9061792&gclid=Cj0KCQjwo6D4BRDgARIsAA6uN1_TSGS3sO7w32Itj0gHy4FyQpjbTL54P0Qz-0rZ2y63NZnpT_PLFjIaAueoEALw_wcB. Imported Pickle module.
[5]https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html#:~:text=An%20extra-trees%20regressor.,accuracy%20and%20control%20over-fitting.&text=If%20int%2C%20then%20consider%20min_samples_split%20as%20the%20minimum%20number. Extra Regressor Classifier
[6] https://machinelearningmastery.com/feature-selection-machine-learning-python/Feature Selection
[7] https://towardsdatascience.com/interpreting-the-coefficients-of-linear-regression-cc31d4c6f235. Interpreting coefficients
[8] https://scikit-learn.org/stable/modules/model_evaluation.html. Regression evaluation Metric
[9] Github link:- https://github.com/Soumyajit567/Air-Quality-Index. This is my GitHub project link. The code is done in Jupyter Notebook and uploaded to GitHub.
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