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RSS R-bloggers

  • Permutations and SHAPley values for feature importance in techtonique dot net’s API (with R + Python + the command line)
  • Which patient is going to survive longer? Another guide to using techtonique dot net’s API (with R + Python + the command line) for survival analysis
  • A Guide to Using techtonique.net’s API and rush for simulating and plotting Stochastic Scenarios
  • Simulating Stochastic Scenarios with Diffusion Models: A Guide to Using techtonique.net’s API for the purpose
  • Spatial machine learning with the tidymodels framework
  • Applying GARCH and INGARCH models to papal conclaves
  • April 2025 Top 40 New CRAN Packages
  • Will my apartment in 5th avenue be overpriced or not? Harnessing the power of www.techtonique.net (+ xgboost, lightgbm, catboost) to find out
  • A Pace Far Different: finding best running pace with R
  • The Dynamics of the “Gentle Way”: Exploring Judo Attack Combinations as Networks in R

Author: Firas Fneish

Covid-19 shinyapp

The data displayed by this shinyapp is taken from Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE). The raw data is available on {Github}. The data is updated on daily basis.
If any further information is needed regarding the data and the application then feel free to send an email to: [email protected]

Posted on December 25, 2020December 26, 2020Author Firas FneishLeave a comment on Covid-19 shinyapp
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