Updates

Author: PeterCLu

articles/machine-learning/tutorial-designer-automobile-price-train-score.md

@@ -9,7 +9,7 @@ services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
 ms.topic: tutorial
-ms.date: 03/04/2020
+ms.date: 03/12/2020
 ---
 
 # Tutorial: Predict automobile price with the designer (preview)
@@ -164,6 +164,12 @@ Your dataset still has missing values after you remove the **normalized-losses**
 
 1. Select the **Clean Missing Data** module.
 
+1. In the module details pane to the right of the canvas, select **Edit Column**.
+
+1. In the **Columns to be cleaned** window that appears, expand the drop-down menu next to **Include**. Select, **All columns**
+
+1. Select **Save**
+
 1. In the module details pane to the right of the canvas, select **Remove entire row** under **Cleaning mode**.
 
 1. In the module details pane to the right of the canvas, select the **Comment** box, and enter *Remove missing value rows*. 
@@ -209,19 +215,19 @@ Train the model by giving it a dataset that includes the price. The algorithm co
 
 1. Select **Regression** > **Linear Regression**, and drag it to the pipeline canvas.
 
-1. Find and drag the **Train Model** module to the pipeline canvas. 
-
 1. Connect the output of the **Linear Regression** module to the left input of the **Train Model** module.
 
+1. In the module palette, expand the section **Module training**, and drag the **Train Model** module to the canvas.
+
+1. Select the **Train Model** module, and drag it to the pipeline canvas.
+
 1. Connect the training data output (left port) of the **Split Data** module to the right input of the **Train Model** module.
 
     > [!IMPORTANT]
     > Be sure that the left output ports of **Split Data** connects to **Train Model**. The left port contains the the training set. The right port contains the test set.
 
     ![Screenshot showing the correct configuration of the Train Model module. The Linear Regression module connects to left port of Train Model module and the Split Data module connects to right port of Train Model](./media/tutorial-designer-automobile-price-train-score/pipeline-train-model.png)
 
-1. In the module palette, expand the section **Module training**, and drag the **Train Model** module to the canvas.
-
 1. Select the **Train Model** module.
 
 1. In the module details pane to the right of the canvas, select **Edit column** selector.
@@ -230,6 +236,9 @@ Train the model by giving it a dataset that includes the price. The algorithm co
 
 1. In the text box, enter *price* to specify the value that your model is going to predict.
 
+    >[!IMPORTANT]
+    > Make sure you enter the column name exactly. Do not capitalize **price**. 
+
     Your pipeline should look like this:
 
     ![Screenshot showing the correct configuration of the pipeline after adding the Train Model module.](./media/tutorial-designer-automobile-price-train-score/pipeline-train-graph.png)
@@ -256,7 +265,7 @@ Use the **Evaluate Model** module to evaluate how well your model scored the tes
 
 ## Run the pipeline
 
-Now that your pipeline is all setup, you can submit a pipeline run to train your machine learning model. You can submit a pipeline run at any point while building pipelines in the designer. You can do this to check your work as you go and verify your pipeline functions as expected.
+Now that your pipeline is all setup, you can submit a pipeline run to train your machine learning model. You can submit a pipeline run at any point while building pipelines in the designer. You can do this to check your work as you go to verify your pipeline works as expected.
 
 1. At the top of the canvas, select **Submit**.