Merge pull request tidymodels#388 from tidymodels/https-everywhere-readme

Use https for all badges

Author: juliasilge

README.Rmd

@@ -19,7 +19,7 @@ knitr::opts_chunk$set(
 [![R build status](https://github.com/tidymodels/parsnip/workflows/R-CMD-check/badge.svg)](https://github.com/tidymodels/parsnip/actions)
 [![Coverage status](https://codecov.io/gh/tidymodels/parsnip/branch/master/graph/badge.svg)](https://codecov.io/github/tidymodels/parsnip?branch=master)
 [![CRAN status](https://www.r-pkg.org/badges/version/parsnip)](https://CRAN.R-project.org/package=parsnip)
-[![Downloads](http://cranlogs.r-pkg.org/badges/parsnip)](https://cran.rstudio.com/package=parsnip)
+[![Downloads](https://cranlogs.r-pkg.org/badges/parsnip)](https://cran.rstudio.com/package=parsnip)
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@@ -46,7 +46,7 @@ devtools::install_github("tidymodels/parsnip")
 
 One challenge with different modeling functions available in R _that do the same thing_ is that they can have different interfaces and arguments. For example, to fit a random forest _regression_ model, we might have:
 
-```{r eval=FALSE}
+```{r eval = FALSE}
 # From randomForest
 rf_1 <- randomForest(
   y ~ ., 

README.md

@@ -11,7 +11,7 @@ status](https://github.com/tidymodels/parsnip/workflows/R-CMD-check/badge.svg)](
 status](https://codecov.io/gh/tidymodels/parsnip/branch/master/graph/badge.svg)](https://codecov.io/github/tidymodels/parsnip?branch=master)
 [![CRAN
 status](https://www.r-pkg.org/badges/version/parsnip)](https://CRAN.R-project.org/package=parsnip)
-[![Downloads](http://cranlogs.r-pkg.org/badges/parsnip)](https://cran.rstudio.com/package=parsnip)
+[![Downloads](https://cranlogs.r-pkg.org/badges/parsnip)](https://cran.rstudio.com/package=parsnip)
 [![lifecycle](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)
 <!-- badges: end -->