https://github.com/adithirgis/ml_dl_air_quality

Machine Learning and Deep Learning Algorithms in R

https://github.com/adithirgis/ml_dl_air_quality

Science Score: 10.0%

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Machine Learning and Deep Learning Algorithms in R

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  • Host: GitHub
  • Owner: adithirgis
  • License: cc0-1.0
  • Language: R
  • Default Branch: main
  • Size: 110 MB
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Created over 4 years ago · Last pushed about 4 years ago

https://github.com/adithirgis/ml_dl_air_quality/blob/main/

# Machine Learning and Deep learning in R for air quality - PM2.5 and Aerosol optical depth data.

This exercise is implemented using the open source H2O platform. 

## [Paper](https://www.sciencedirect.com/science/article/pii/S1352231022002291?dgcid=coauthor)

## Random Forest

- https://uc-r.github.io/random_forests

- https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/drf.html

## Neural Network 

- https://shiring.github.io/machine_learning/2017/03/07/grid_search

- https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/deep-learning.html

- https://www.hackerearth.com/practice/machine-learning/machine-learning-algorithms/understanding-deep-learning-parameter-tuning-with-mxnet-h2o-package-in-r/tutorial/

- https://htmlpreview.github.io/?https://github.com/ledell/sldm4-h2o/blob/master/sldm4-deeplearning-h2o.html


## LightGBM

- https://www.kaggle.com/andrewmvd/lightgbm-in-r/report

- https://neptune.ai/blog/lightgbm-parameters-guide

- https://www.r-bloggers.com/2020/08/how-to-use-lightgbm-with-tidymodels/

## Extras 

- Example - https://www.mdpi.com/2072-4292/13/18/3790 

- Cross Validation - https://docs.h2o.ai/h2o/latest-stable/h2o-docs/cross-validation.html#combining-holdout-predictions 

- Random Grid Search - https://docs.h2o.ai/h2o/latest-stable/h2o-docs/grid-search.html 

- Variable Importance - https://docs.h2o.ai/h2o/latest-stable/h2o-docs/variable-importance.html 

Owner

  • Name: Adithi R. Upadhya
  • Login: adithirgis
  • Kind: user
  • Location: at the moment
  • Company: ILK Labs

Geospatial data analyst

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