Merge pull request #3 from simonpcouch/tidymodels_intro

add details for "Introduction to tidymodels"

workshops/tidymodels_intro.qmd

@@ -1,35 +1,35 @@
 ---
-title: Add workshop title here
+title: Introduction to tidymodels
 author:
-  - name: Instructor 1 name
+  - name: Hannah Frick
     affiliations:
-      - name: Instructor 1 affiliation
-  - name: Instructor 2 name (remove if single instructor)
+      - name: Posit, PBC
+  - name: Simon Couch
     affiliations:
-      - name: Instructor 2 affiliation      
+      - name: Posit, PBC     
 description: |
-  1-sentence summary of workshop.
-categories: [add, comma, separated, categories]
+  Machine learning with tabular data using the tidymodels framework.
+categories: [R, tidymodels, modeling]
 ---
 
 # Description
 
-Full workshop description goes here. Multi-paragraph ok.
+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.
 
 # Audience
 
-This course is for you if you:
+This workshop is for you if you:
 
--   list at least
+-   are comfortable using tidyverse packages to read data into R, transform and reshape data, and make a variety of graphs, and
+-   have had some exposure to basic statistical concepts such as linear models, residuals, etc.
 
--   three attributes
-
--   for your target audience
+Intermediate or expert familiarity with modeling or machine learning is not required. Interested students who have intermediate or expert familiarity with modeling or machine learning may be interested in the [Advanced tidymodels](/workshops/tidymodels_advanced.html) workshop.
 
 # Instructor(s)
 
-|                               |     |                                             |
-|------------------|------------------|-------------------------------------|
-| ![](images/name-lastname.jpg) |     | Instructor bio, including link to homepage. |
+|                        |     |                                                                                                                                                                                                                                                                                                                                                                                                                   |
+|---------------|---------------|------------------------------------------|
+| ![](images/hannah-frick.jpg) |     | [**Hannah Frick**](https://www.frick.ws/) is a software engineer and statistician on the tidymodels team at Posit. She holds a PhD in statistics and has worked in data science consultancy as well as interdisciplinary research at University College London in cooperation with Team GB Hockey.                                                                                                                |
+| ![](images/simon-couch.jpg)   |     | [**Simon Couch**](https://www.simonpcouch.com/) works on software for statistical modeling on the tidymodels team at Posit. With a background in statistics and sociology, Simon is passionate about free and open source software and data pedagogy. He is an author and maintainer of several R packages, including the stacks package, which was awarded the 2021 John M. Chambers Statistical Software Award. |
 
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