diff --git a/materials/01-intro/01-requirements.Rmd b/materials/01-intro/01-requirements.Rmd index ee0217d..e459d42 100644 --- a/materials/01-intro/01-requirements.Rmd +++ b/materials/01-intro/01-requirements.Rmd @@ -96,9 +96,9 @@ you will need to following these steps: not found` you may need to explicitly state the kaggle path in your .bash\_profile. See this related [issue](https://github.com/rstudio-conf-2020/dl-keras-tf/issues/4) for -more details. If you get a 403 error from the kaggle API call then you may need -to go to the [competition page](https://www.kaggle.com/c/dogs-vs-cats) and -accept the competition terms. +more details. If you get a `403 Forbidden` error from the kaggle API call then +you may need to go to the [competition rules page](https://www.kaggle.com/c/dogs-vs-cats/rules) +and accept the competition terms. Now you should be able to execute the following code to download the data. This will download all the data but only place a fraction of the diff --git a/materials/01-intro/01-requirements.md b/materials/01-intro/01-requirements.md index 26843b2..9bbd068 100644 --- a/materials/01-intro/01-requirements.md +++ b/materials/01-intro/01-requirements.md @@ -31,6 +31,7 @@ pkgs <- c( "lime", "magick", "mlbench", + "MLmetrics", "plotly", "progress", "recipes", @@ -93,11 +94,14 @@ you will need to following these steps: 4. Move the JSON token file to the `/Users/your_id/.kaggle` folder ([reference](https://github.com/Kaggle/kaggle-api/issues/15)) -**Note**: if you experience the following error `bash: kaggle: command +**Note**: If you experience the following error `bash: kaggle: command not found` you may need to explicitly state the kaggle path in your .bash\_profile. See this related [issue](https://github.com/rstudio-conf-2020/dl-keras-tf/issues/4) for -more details. +more details. If you get a `403 Forbidden` error from the kaggle API +call then you may need to go to the [competition rules +page](https://www.kaggle.com/c/dogs-vs-cats/rules) and accept the +competition terms. Now you should be able to execute the following code to download the data. This will download all the data but only place a fraction of the