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Author: cdpark

articles/machine-learning/v1/how-to-designer-python.md

@@ -21,7 +21,7 @@ This article explains how to use the [Execute Python Script](../algorithm-module
 
 You can use the in-built code editor to quickly add simple Python logic. You should use the zip file method to add more complex code, or to upload more Python libraries.
 
-The default execution environment uses the Anacondas distribution of Python. See the [Execute Python Script component reference](../algorithm-module-reference/execute-python-script.md) page for a complete list of preinstalled packages.
+The default execution environment uses the Anacondas distribution of Python. See the [Execute Python Script](../algorithm-module-reference/execute-python-script.md) component reference for a complete list of preinstalled packages.
 
 :::image type="content" source="media/how-to-designer-python/execute-python-map.png" alt-text="Diagram that shows the input map for Execute Python Script.":::
 

articles/machine-learning/v1/how-to-designer-transform-data.md

@@ -42,7 +42,7 @@ Use these steps to import the sample dataset:
 
 1. Sign in to [Azure Machine Learning studio](https://ml.azure.com), and select the workspace you want to use.
 
-1. Go to the designer. Select **Create a new pipeline using classic prebuilt components** to create a new pipeline.
+1. Select **Designer** from the sidebar menu. Under **Classic prebuilt**, choose **Create a new pipeline using classic prebuilt components**.
 
 1. To the left of the pipeline canvas, in the **Component** tab, expand the **Sample data** node.
 
@@ -54,7 +54,7 @@ Use these steps to import the sample dataset:
 
 ### Split the data
 
-In this section, you use the [Split Data component](../algorithm-module-reference/split-data.md) to identify and split rows that contain *United-States* in the **native-country** column.
+Use the [Split Data component](../algorithm-module-reference/split-data.md) to identify and split rows that contain *United-States* in the **native-country** column.
 
 1. To the left of the canvas, in the component tab, expand the **Data Transformation** section, and find the **Split Data** component.
 

articles/machine-learning/v1/how-to-retrain-designer.md

@@ -41,6 +41,8 @@ This article also assumes that you have some knowledge of building pipelines in
 
 The pipeline used in this article is an altered version of the [Income prediction](samples-designer.md#classification) sample pipeline. The pipeline uses the [Import Data](../algorithm-module-reference/import-data.md) component instead of the sample dataset to show you how to train models using your own data.
 
+If you're using the pipeline that you built in part one of this series, add the other components in the following example.
+
 :::image type="content" source="./media/how-to-retrain-designer/modified-sample-pipeline.png" alt-text="Screenshot that shows the modified sample pipeline with a box highlighting the Import Data component." lightbox="./media/how-to-retrain-designer/modified-sample-pipeline.png":::
 
 ## Create a pipeline input
@@ -120,8 +122,6 @@ To make a REST call, you need an OAuth 2.0 bearer-type authentication header. Fo
 
 ## Related content
 
-In this article, you learned how to create a parameterized training pipeline endpoint using the designer.
-
-For a complete walkthrough of how you can deploy a model to make predictions, see the [designer tutorial](tutorial-designer-automobile-price-train-score.md) to train and deploy a regression model.
+- [Tutorial: Train a no-code regression model using designer](tutorial-designer-automobile-price-train-score.md)
 
-For how to publish and submit a job to pipeline endpoint using the SDK v1, see [Publish pipelines](how-to-deploy-pipelines.md).
+- [Publish machine learning pipelines](how-to-deploy-pipelines.md)