Package: Module3R

Title: Getting Started with Machine Learning in R

Version: 0.0.0.9000

Authors@R:

person("Giorgia", "Mori", , "[email protected]", role = c("aut", "cre"))

Description: In this tutorial, you will gain experience in exploratory data analysis, preparing data so it is ready for predictive modeling, training supervised machine learning models using tidymodels, and evaluating those models.

License: MIT + file LICENSE

Depends:

R (>= 3.1),

tidyverse,

tidymodels

Imports:

workflowsets,

vip,

skimr,

bestNormalize,

AmesHousing,

ggcorrplot,

naniar,

dplyr,

learnr,

mlbench,

ranger,

glmnet,

embed,

sortable,

emojifont,

tidytext,

finetune,

tune,

glmnet,

ranger

Encoding: UTF-8

Roxygen: list(markdown = TRUE)

RoxygenNote: 7.2.3