Update and add R Notebooks to the R folder

3 years ago · 558f25f80d
parent eeb282bca4
commit 558f25f80d
3 changed files with 516 additions and 333 deletions
--- a/4-Classification/2-Classifiers-1/solution/R/README.md
+++ b/4-Classification/2-Classifiers-1/solution/R/README.md
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-this is a temporary placeholder
--- a/4-Classification/2-Classifiers-1/solution/R/lesson_11-R.ipynb
+++ b/4-Classification/2-Classifiers-1/solution/R/lesson_11-R.ipynb
--- a/4-Classification/2-Classifiers-1/solution/R/lesson_11.Rmd
+++ b/4-Classification/2-Classifiers-1/solution/R/lesson_11.Rmd
@ -154,7 +154,7 @@ Now we are ready to train a model 👩‍💻👨‍💻!

 ## 3. Choosing your classifier

-![Artwork by \@allison_horst](../images/parsnip.jpg){width="600"}
+![Artwork by \@allison_horst](../../images/parsnip.jpg){width="600"}

 Now we have to decide which algorithm to use for the job 🤔.

@ -198,7 +198,7 @@ Also the choice of classifier depends on our problem. For instance, when the out

 A better way than wildly guessing, however, is to follow the ideas on this downloadable [ML Cheat sheet](https://docs.microsoft.com/azure/machine-learning/algorithm-cheat-sheet?WT.mc_id=academic-15963-cxa). Here, we discover that, for our multiclass problem, we have some choices:

-![A section of Microsoft's Algorithm Cheat Sheet, detailing multiclass classification options](../images/cheatsheet.png){width="500"}
+![A section of Microsoft's Algorithm Cheat Sheet, detailing multiclass classification options](../../images/cheatsheet.png){width="500"}

 ### **Reasoning**