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ml-04.Rmd
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---
output:
xaringan::moon_reader:
lib_dir: libs
css: ["default", "default-fonts", "animate.css", "hygge"]
nature:
highlightStyle: github
highlightLines: true
countIncrementalSlides: true
---
class: inverse, center
```{r , message=FALSE, warning=FALSE, include=FALSE}
library(fontawesome)
library(emo)
```
# `r fa("r-project", fill = 'steelblue')` para análisis de datos `r emo::ji("rocket")`<br> <br>
## `r emo::ji("tada")`Modelización con tidymodels `r emo::ji("computer")`
`Regresión`
<br> <br> <br>
.large[Roxana N. Villafañe | LEMyP | <a href='http://twitter.com/data_datum'>`r fa("twitter", fill = 'steelblue')` @data_datum</a>] <br>
.large[Florencia D'Andrea | INTA-CONICET | <a href="http://twitter.com/cantoflor_87"> `r fa("twitter", fill = 'steelblue')` @cantoflor_87</a><br>]
<br><br><br><br><br> Slides disponibles en <https://bit.ly/curso-r-fca> `r emo::ji("sparkles")`
<br> Página web del curso en <https://curso-r-fca.netlify.com> `r emo::ji("star2")`
---