Скачать с ютуб Introduction to building machine learning models in R with mikropml (CC124) в хорошем качестве

Introduction to building machine learning models in R with mikropml (CC124)

mikropml is a new R package for building machine learning models that was created by members of Pat's research group at the University of Michigan. In this episode of Code Club, Pat introduces why he thinks machine learning is the future of microbiome resarch, the framework that mikropml employs, and gives a demo of how to use the default parameters of mikropml's run_ml function. The data he uses is from a microbiome study his lab has published looking for biomarkers associated with colorectal cancer. In this episode, Pat will use functions from the #mikropml R package and data handling functions from #dplyr in #RStudio. The accompanying blog post can be found at https://www.riffomonas.org/code_club/.... If you're interested in taking an upcoming 3 day R workshop, email me at [email protected]! R: https://r-project.org RStudio: https://rstudio.com Raw data: https://github.com/riffomonas/raw_dat... Workshops: https://www.mothur.org/wiki/workshops You can also find complete tutorials for learning R with the tidyverse using... Microbial ecology data: https://www.riffomonas.org/minimalR/ General data: https://www.riffomonas.org/generalR/ 0:00 Why machine learning? 5:59 Framework used by mikropml 12:55 Setting up data for use in mikropml 19:04 Running mikropml with defaults 28:35 Altering training framework 28:00 Recap