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Prediction of Air quality parameters(PM10, NO2, SO2) and AQI in kolkata using machine learning algorithms.

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Chayan199916/bsc-final-year-project

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This is a team project (# of team members = 3) of final semester

Sub: A comparative study of machine learning algorithms for the analysis and

prediction of air quality parameters and AQI in Kolkata.

  • HOME PAGE

This is the landing page of the site.

  • ABOUT PAGE

This page contains information related to the developers of the project.

  • DOCUMENTATION PAGE

This page contains a brief theory of all the algorithms with code snippets and tables related to testing results and accuracy of models.

Documentation page snapshot showing all sub points

Documentation page snapshot showing one algorithm sample

Documentation page snapshot showing a table and code snippet sample

  • PREDICTION PAGE

This page contains all the prediction related entry forms

Prediction page snapshot showing the choices available to an user

Prediction page snapshot showing an user giving input date and selecting models

Prediction page snapshot showing an user giving input parameter data manually

  • PLOTTING PAGE

This page contains all the plots related to accuracy and error percentage of different models.

Plotting page snapshot showing portion of a plot

Plotting page snapshot showing a correlation matrix

Plotting page snapshot showing portion of another plot

  • RESULT PAGE

Result page snapshot showing prediction of a model on 1st January, 2020

Result page snapshot showing prediction of ensemble modeling on 24th April, 2020

Result page snapshot showing prediction of another model on 25th April, 2020

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Prediction of Air quality parameters(PM10, NO2, SO2) and AQI in kolkata using machine learning algorithms.

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