Merge pull request #771 from MoeRichert-USDA/update-20-ml-intro

update spacing

sn_collections/_workshops/2024-ai-user-forum/20-a-ml-intro.md

@@ -28,32 +28,32 @@ Steps to prepare for the tutorial:
 
     {:.copy-code}
     ```bash
-    srun --reservation=forum -A scinet_workshop1 -t 00:30:00 -n 1 --mem 8G --pty bash 
-    ```
+srun --reservation=forum -A scinet_workshop1 -t 00:30:00 -n 1 --mem 8G --pty bash 
+```
 
 1. **Create and/or update your workshop working directory** and copy the tutorial materials into it by running the following commands. Note: you do not have to edit the commands with your username as it will be determined by the `$USER` variable. 
 
     {:.copy-code}
     ```bash
-    mkdir -p /90daydata/shared/$USER/intro_ml
-    cd /90daydata/shared/$USER/intro_ml
-    cp -r /project/ai_forum/intro_ml/intro_ml.ipynb .
-    ```
+mkdir -p /90daydata/shared/$USER/intro_ml
+cd /90daydata/shared/$USER/intro_ml
+cp -r /project/ai_forum/intro_ml/intro_ml.ipynb .
+```
 
 1. **Setup the kernel for JupyterLab.** You will create a kernel called *intro_ml_env* to access from JupyterLab Server. Run the following commands to activate the workshop's virtual environment and create a new kernelspec from it:
 
     {:.copy-code}
     ```bash
-    source /project/ai_forum/intro_ml/intro_ml_env/bin/activate
-    ipython kernel install --name "intro_ml_env" --user
-    ```
+source /project/ai_forum/intro_ml/intro_ml_env/bin/activate
+ipython kernel install --name "intro_ml_env" --user
+```
 
 1. **Stop the interactive job** on the compute node by running the command:
 
     {:.copy-code}
     ```bash
-    exit
-    ```
+exit
+```
 
 1. **Launch a JupyterLab Server session.** Under the *Interactive Apps* menu, select *JupyterLab Server*. Specify the following input values on the page: