Merge pull request #180537 from nibaccam/databricks-link

AutoML | update links to new repo

Author: PRMerger20

articles/machine-learning/how-to-auto-train-image-models.md

@@ -35,7 +35,7 @@ Automated ML supports model training for computer vision tasks like image classi
     To install the SDK you can either, 
     * Create a compute instance, which automatically installs the SDK and is pre-configured for ML workflows. For more information, see [Create and manage an Azure Machine Learning compute instance](how-to-create-manage-compute-instance.md).
 
-    * [Install the `automl` package yourself](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/README.md#setup-using-a-local-conda-environment), which includes the [default installation](/python/api/overview/azure/ml/install#default-install) of the SDK.
+    * [Install the `automl` package yourself](https://github.com/Azure/azureml-examples/blob/main/python-sdk/tutorials/automl-with-azureml/README.md#setup-using-a-local-conda-environment), which includes the [default installation](/python/api/overview/azure/ml/install#default-install) of the SDK.
 
     > [!NOTE]
     > Only Python 3.6 and 3.7 are compatible with automated ML support for computer vision tasks. 

articles/machine-learning/how-to-configure-auto-train.md

@@ -132,7 +132,7 @@ Next determine where the model will be trained. An automated ML training experim
 
     See [this notebook](https://github.com/Azure/azureml-examples/blob/main/python-sdk/tutorials/automl-with-azureml/classification-bank-marketing-all-features/auto-ml-classification-bank-marketing-all-features.ipynb) for a remote example using Azure Machine Learning Managed Compute. 
 
-* An **Azure Databricks cluster** in your Azure subscription. You can find more details in [Set up an Azure Databricks cluster for automated ML](how-to-configure-databricks-automl-environment.md). See this [GitHub site](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/azure-databricks/automl) for examples of notebooks with Azure Databricks.
+* An **Azure Databricks cluster** in your Azure subscription. You can find more details in [Set up an Azure Databricks cluster for automated ML](how-to-configure-databricks-automl-environment.md). See this [GitHub site](https://github.com/Azure/azureml-examples/tree/main/python-sdk/tutorials/automl-with-databricks) for examples of notebooks with Azure Databricks.
 
 <a name='configure-experiment'></a>
 

articles/machine-learning/how-to-configure-databricks-automl-environment.md

@@ -108,7 +108,7 @@ In AutoML config, when using Azure Databricks add the following parameters:
 ## ML notebooks that work with Azure Databricks
 
 Try it out:
-+ While many sample notebooks are available, **only [these sample notebooks](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/azure-databricks) work with Azure Databricks.**
++ While many sample notebooks are available, **only [these sample notebooks](https://github.com/Azure/azureml-examples/tree/main/python-sdk/tutorials/automl-with-databricks) work with Azure Databricks.**
 
 + Import these samples directly from your workspace. See below:
 ![Select Import](./media/how-to-configure-environment/azure-db-screenshot.png)

articles/machine-learning/tutorial-automated-ml-forecast.md

@@ -36,7 +36,7 @@ Also try automated machine learning for these other model types:
 
 * An Azure Machine Learning workspace. See [Create an Azure Machine Learning workspace](how-to-manage-workspace.md). 
 
-* Download the [bike-no.csv](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/forecasting-bike-share/bike-no.csv) data file
+* Download the [bike-no.csv](https://github.com/Azure/azureml-examples/blob/main/python-sdk/tutorials/automl-with-azureml/forecasting-bike-share/bike-no.csv) data file
 
 ## Sign in to the studio
 
@@ -66,7 +66,7 @@ Before you configure your experiment, upload your data file to your workspace in
 
     1. Select **Browse**. 
 
-    1. Choose the **bike-no.csv** file on your local computer. This is the file you downloaded as a [prerequisite](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/forecasting-bike-share/bike-no.csv).
+    1. Choose the **bike-no.csv** file on your local computer. This is the file you downloaded as a [prerequisite](https://github.com/Azure/azureml-examples/blob/main/python-sdk/tutorials/automl-with-azureml/forecasting-bike-share/bike-no.csv).
 
     1. Select **Next**