clean up READMEs (#693)

* cleanup readmes

* fix

* fix

* fix

README.md

@@ -20,10 +20,12 @@ Welcome to the Azure Machine Learning examples repository!
 
 directory|description
 -|-
-[`cli`](cli)|Azure Machine Learning 2.0 CLI (preview) examples
-[`notebooks`](notebooks)|Jupyter notebooks with MLflow tracking to an Azure ML workspace
-[`python-sdk`](python-sdk)|Azure Machine Learning Python SDK examples
-[`setup-ci`](setup-ci) | Sample setup scripts to customize and configure an Azure Machine Learning compute instance
+[`.github`](.github)|GitHub files like issue templates and actions workflows.
+[`cli`](cli)|Azure Machine Learning CLI (v2) examples.
+[`notebooks`](notebooks)|Jupyter notebooks with MLflow tracking to an Azure ML workspace.
+[`python-sdk`](python-sdk)|Azure Machine Learning Python SDK (v1) examples.
+[`setup-ci`](setup-ci)|Setup scripts to customize and configure an Azure Machine Learning compute instance.
+[`setup-repo`](setup-repo)|Setup scripts for Azure/azureml-examples.
 
 ## Contributing
 

cli/README.md

@@ -7,7 +7,7 @@ products:
 description: Top-level directory for official Azure Machine Learning CLI sample code.
 ---
 
-# Azure Machine Learning 2.0 CLI (preview) examples
+# Azure Machine Learning CLI (v2) (preview) examples
 
 [![cleanup](https://github.com/Azure/azureml-examples/workflows/cleanup-cli/badge.svg)](https://github.com/Azure/azureml-examples/actions/workflows/cleanup-cli.yml)
 [![code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

cli/endpoints/online/custom-container/r/README.md

@@ -29,7 +29,7 @@ Modify the third function in plumber.R to load the saved model and run the model
 
 ### Create an endpoint in your own subscription
 
-Follow the steps in [our documentation](https://docs.microsoft.com/azure/machine-learning/how-to-configure-cli) to configure the 2.0 CLI. Then run [deploy-r.sh](../../../../deploy-r.sh) (if running on a Linux machine). Alternatively, call `az ml endpoint create -n r-endpoint.yml`.
+Follow the steps in [our documentation](https://docs.microsoft.com/azure/machine-learning/how-to-configure-cli) to configure the CLI (v2). Then run [deploy-r.sh](../../../../deploy-r.sh) (if running on a Linux machine). Alternatively, call `az ml endpoint create -n r-endpoint.yml`.
 
 ### Call into your deployed endpoint
 

cli/jobs/train/r/README.md

@@ -5,12 +5,12 @@ languages:
 - azurecli
 products:
 - azure-machine-learning
-description: Learn how to train R models using the Azure ML 2.0 CLI.
+description: Learn how to train R models using the Azure ML CLI (v2).
 ---
 
-# Train R models using the Azure ML 2.0 CLI
+# Train R models using the Azure ML CLI (v2)
 
-This directory provides sample code to run R using the Azure ML 2.0 CLI.
+This directory provides sample code to run R using the Azure ML CLI (v2).
 
 ## Examples
 

cli/prefix.md

@@ -7,7 +7,7 @@ products:
 description: Top-level directory for official Azure Machine Learning CLI sample code.
 ---
 
-# Azure Machine Learning 2.0 CLI (preview) examples
+# Azure Machine Learning CLI (v2) (preview) examples
 
 [![cleanup](https://github.com/Azure/azureml-examples/workflows/cleanup-cli/badge.svg)](https://github.com/Azure/azureml-examples/actions/workflows/cleanup-cli.yml)
 [![code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)