GitHub per Acrolinx

Author: lobrien

articles/machine-learning/how-to-use-automlstep-in-pipelines.md

@@ -494,4 +494,4 @@ Finally, the actual metrics and model are downloaded to your local machine, as w
 - Run this Jupyter notebook showing a [complete example of automated ML in a pipeline](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/machine-learning-pipelines/nyc-taxi-data-regression-model-building/nyc-taxi-data-regression-model-building.ipynb) that uses regression to predict taxi fares
 - [Create automated ML experiments without writing code](how-to-use-automated-ml-for-ml-models.md)
 - Explore a variety of [Jupyter notebooks demonstrating automated ML](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/automated-machine-learning)
-- Read about integrating your pipeline in to [End-to-end MLOps](https://docs.microsoft.com/azure/machine-learning/concept-model-management-and-deployment#automate-the-ml-lifecycle) or investigate the [MLOps Github repository](https://github.com/Microsoft/MLOpspython) 
+- Read about integrating your pipeline in to [End-to-end MLOps](https://docs.microsoft.com/azure/machine-learning/concept-model-management-and-deployment#automate-the-ml-lifecycle) or investigate the [MLOps GitHub repository](https://github.com/Microsoft/MLOpspython)