DESCRIPTION

Package: Module3R
Title: Getting Started with Machine Learning in R
Version: 0.0.0.9000
Authors@R: 
    person("Giorgia", "Mori", , "giorgia.mori@sydney.edu.au", 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