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## Azure Machine Learning service Tutorial
Complete these tutorials to learn how to train and deploy models using Azure Machine Learning services and Python SDK. These Notebooks accompany the [tutorial articles starting here]([https://docs.microsoft.com/en-us/azure/machine-learning/service/tutorial-train-models-with-aml]).
Complete these tutorials to learn how to train and deploy models using Azure Machine Learning services and Python SDK. These Notebooks accompany the
two sets of tutorial articles for:
* [Image classification using MNIST dataset](https://docs.microsoft.com/en-us/azure/machine-learning/service/tutorial-train-models-with-aml)
* [Regression using NYC Taxi dataset](https://docs.microsoft.com/en-us/azure/machine-learning/service/tutorial-data-prep)
As a pre-requisite, run the [configuration Notebook](../configuration.ipynb) notebook first to set up your Azure ML Workspace. Then, run the notebooks in following recommended order.
* [Tutorial #1](img-classification-part1-training.ipynb): Train an image classification model with Azure Machine Learning
* [Tutorial #2](img-classification-part2-deploy.ipynb): Deploy an image classification model from first tutorial in Azure Container Instance (ACI)
* [Tutorial #3](regression-part1-data-prep.ipynb): Use data preparation.
### Image classification
* [Part 1](img-classification-part1-training.ipynb): Train an image classification model with Azure Machine Learning.
* [Part 2](img-classification-part2-deploy.ipynb): Deploy an image classification model from first tutorial in Azure Container Instance (ACI).
### Regression
* [Part 1](regression-part1-data-prep.ipynb): Prepare the data using Azure Machine Learning Data Prep SDK.
* [Part 2](regression-part1-automated-ml.ipynb): Train a model using Automated Machine Learning.
Also find quickstarts and how-tos on the [official documentation site for Azure Machine Learning service](https://docs.microsoft.com/en-us/azure/machine-learning/service/).