tidymodels: Adventures in Rewriting a Modeling Pipeline - posit::conf(2023)
Presented by Ryan Timpe
An overview of the benefits unlocked on our data science team by adopting tidymodels.
Data science sure has changed over the past few years! Everyone's talking about production. RStudio is now Posit. Models are now tidy.
This talk is about embracing that change and updating existing models using the tidymodels framework. I recently completed this change, letting go of our in-production code and revisioning it with tidymodels. My team ended up with a faster, more scalable pipeline that enabled us to better automate our workflow and increase our scale while improving our stakeholders' experiences.
I'll share tips and tricks for adopting the tidymodels framework in existing products, best practices for learning and upskilling teams, and advice for using tidymodel packages to build more accessible data science tools.
Materials: https://www.ryantimpe.com/files/tidymodels_adventures_positconf2023.pdf
Presented at Posit Conference, between Sept 19-20 2023,
Learn more at posit.co/conference.
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Talk Track: Tidy up your models.
Session Code: TALK-1082
rstudio
tidymodels
AIMLmodelling
Automation
Humans
Databricks
Data Science
RStudio
Machine Learning
Python
Stats
Tidyverse
Data Visualization
Data Viz
Ggplot
Technology
Coding
Connect
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
Quarto
Posit
ML