fix links; add toc

Author: sdgilley

articles/machine-learning/v1/toc.yml

@@ -45,6 +45,15 @@
 - name: Tutorials
   expanded: true
   items:
+    - name: Python get started (Day 1)
+      expanded: true
+      items: 
+        - name: 1. Run a Python script
+          href: tutorial-1st-experiment-hello-world.md
+        - name: 2. Train your model
+          href: tutorial-1st-experiment-sdk-train.md
+        - name: 3. Use your own data
+          href: tutorial-1st-experiment-bring-data.md
     - name: "Build a training pipeline (Python)"
       href: "tutorial-pipeline-python-sdk.md"
 - name: How-to guides

articles/machine-learning/v1/tutorial-1st-experiment-bring-data.md

@@ -188,7 +188,7 @@ To run this script in Azure Machine Learning, you need to make your training dat
     The `target_path` value specifies the path on the datastore where the CIFAR10 data will be uploaded.
 
     >[!TIP] 
-    > While you're using Azure Machine Learning to upload the data, you can use [Azure Storage Explorer](https://azure.microsoft.com/features/storage-explorer/) to upload ad hoc files. If you need an ETL tool, you can use [Azure Data Factory](../data-factory/introduction.md) to ingest your data into Azure.
+    > While you're using Azure Machine Learning to upload the data, you can use [Azure Storage Explorer](https://azure.microsoft.com/features/storage-explorer/) to upload ad hoc files. If you need an ETL tool, you can use [Azure Data Factory](../../data-factory/introduction.md) to ingest your data into Azure.
 
 2. Select **Save and run script in terminal** to run the *upload-data.py* script.
 

articles/machine-learning/v1/tutorial-1st-experiment-hello-world.md

@@ -36,7 +36,7 @@ In this tutorial, you will:
 
 ## Prerequisites
 
-- Complete [Quickstart: Set up your workspace to get started with Azure Machine Learning](quickstart-create-resources.md) to create a workspace, compute instance, and compute cluster to use in this tutorial series.
+- Complete [Quickstart: Set up your workspace to get started with Azure Machine Learning](../quickstart-create-resources.md) to create a workspace, compute instance, and compute cluster to use in this tutorial series.
 
 ## Create and run a Python script
 
@@ -127,7 +127,7 @@ Here's a description of how the control script works:
       `config = ScriptRunConfig( ... )` 
    :::column-end:::
    :::column span="2":::
-      [ScriptRunConfig](/python/api/azureml-core/azureml.core.scriptrunconfig) wraps your `hello.py` code and passes it to your workspace. As the name suggests, you can use this class to _configure_ how you want your _script_ to _run_ in Azure Machine Learning. It also specifies what compute target the script will run on. In this code, the target is the compute cluster that you created in the [setup tutorial](./quickstart-create-resources.md).
+      [ScriptRunConfig](/python/api/azureml-core/azureml.core.scriptrunconfig) wraps your `hello.py` code and passes it to your workspace. As the name suggests, you can use this class to _configure_ how you want your _script_ to _run_ in Azure Machine Learning. It also specifies what compute target the script will run on. In this code, the target is the compute cluster that you created in the [setup tutorial](../quickstart-create-resources.md).
    :::column-end:::
 :::row-end:::
 :::row:::