Skip to content

hilatitude/Shiny_prediction_project

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 

Repository files navigation

Semi-automated rainfall prediction for any geographic location using Shiny

Here, I used Shiny, which is an R package that makes it easy to build interactive web applications (apps) straight from R, to develop semi-automated machine learning models to predict rainfall over a region the user selects. The user can extract predictand and predictors by drawing a polygon over a region. Then, the user can select some or all of the machine learning algorithms provided. Provided models include Linear regression models (GLM, SGLM), Tree-based models (bagging, random forest, boosting), Support vector Machines, Artificial Neural Network, and other non-linear models (GAM, SGAM, MARS). Finally, the user can download a presentation of the results. Please visit my projects list to read more: http://datascience-enthusiast.com/projects.html

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • R 100.0%