Introduction to building machine learning models in R with mikropml (CC124)
25:31
Using custom R functions and map, map_dfr, and map2 to create multiple ROC curves (CC123)
21:28
Building machine learning models in R with mikropml: preprocessing data (CC125)
20:06
Intro to machine learning in R with "tidymodels" | R Tutorial (2021)
22:22
How to tune hyperparameters for machine learning in R with the mikropml package (CC126)
32:28
Testing for significance with microbiome data on individual taxa using R (CC122)
20:56
FLAML - The AutoML from Microsoft (Machine Learning Models in 3 Lines of Code)
25:45
Cleaning and manipulating data with the tidyverse: dplyr, readr, and stringr in action (CC121)
33:15