posit::conf(2023) Workshop: Introduction to tidymodels
Register now: http://pos.it/conf
Instructors: Hannah Frick, Simon Couch, Emil Hvitfeldt
Workshop Duration: 1-Day Workshop
This workshop is for you if you:
• have intermediate R knowledge, experience with tidyverse packages, and either of the R pipes
• can read data into R, transform and reshape data, and make a wide variety of graphs
• have had some exposure to basic statistical concepts such as linear models, random forests, etc.
Intermediate or expert familiarity with modeling or machine learning is not required.
This workshop will teach you core tidymodels packages and their uses: data splitting/resampling with rsample, model fitting with parsnip, measuring model performance with yardstick, and basic pre-processing with recipes. Time permitting, you’ll be introduced to model optimization using the tune package. You’ll learn tidymodels syntax as well as the process of predictive modeling for tabular data
Emil Hvitfeldt, Hannah Frick, Simon Couch
parsnip
rsample
tidymodels
tidyverse
yardstick
RStudio
Data Science
Machine Learning
Python
Stats
Tidyverse
Data Visualization
Data Viz
Ggplot
Technology
Coding
Connect
Server Pro
Shiny
Rmarkdown
Package Manager
CRAN
Interoperability
Serious Data Science
Dplyr
Forcats
Ggplot2
Tibble
Readr
Stringr
Tidyr
Purrr
Github
Data Wrangling
Tidy Data
Odbc
Rayshader
Plumber
Blogdown
Gt
Lazy Evaluation
Tidymodels
Statistics
Debugging
Programming Education
Rstats
Open Source
Oss
Reticulate