fix blocking issues

Author: sdgilley

articles/machine-learning/how-to-manage-labeling-projects.md

@@ -178,7 +178,7 @@ To add one or more labels to a project:
 1. In the list on the left, select **Label categories**.
 1. Modify your labels.
 
-  :::image type="content" source="./media/how-to-create-labeling-projects/add-label.png" alt-text="Screenshot that shows how to add a label in Machine Learning Studio.":::
+    :::image type="content" source="./media/how-to-create-labeling-projects/add-label.png" alt-text="Screenshot that shows how to add a label in Machine Learning Studio.":::
 
 1. In the form, add your new label. Then choose how to continue the project. Because you changed the available labels, choose how to treat data that's already labeled:
 

articles/machine-learning/how-to-prepare-datasets-for-automl-images.md

@@ -83,7 +83,7 @@ If you have previously labeled data that you would like to use to train your mod
 The following script uploads the image data on your local machine at path "./data/odFridgeObjects" to datastore in Azure Blob Storage. It then creates a new data asset with the name "fridge-items-images-object-detection" in your Azure Machine Learning Workspace. 
 
 
-If there already exists a data asset with the name "fridge-items-images-object-detection" in your Azure Machine Learning Workspace, it updates the version number of the data asset and point it to the new location where the image data uploaded.
+If there already exists a data asset with the name "fridge-items-images-object-detection" in your Azure Machine Learning Workspace, it updates the version number of the data asset and points it to the new location where the image data uploaded.
 
 # [Azure CLI](#tab/cli)
 [!INCLUDE [cli v2](includes/machine-learning-cli-v2.md)]