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

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# Auto-train a time-series forecast model
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[!INCLUDE [aml-applies-to-basic-enterprise-sku](../../includes/aml-applies-to-basic-enterprise-sku.md)]
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In this article, you learn how to configure and train a time-series forecasting regression model using automated machine learning in the Azure Machine Learning Python SDK.
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In this article, you learn how to configure and train a time-series forecasting regression model using automated machine learning in the [Azure Machine Learning Python SDK](https://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py).
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For a low code experience, see the [Tutorial: Forecast bike share demand](tutorial-automated-ml-forecast.md) for a time-series forecasting example using automated machine learning in the [Azure Machine Learning studio](https://ml.azure.com/).
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For a low code experience, see the [Tutorial: Forecast demand with automated machine learning](tutorial-automated-ml-forecast.md) for a time-series forecasting example using automated machine learning in the [Azure Machine Learning studio](https://ml.azure.com/).
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Configuring a forecasting model is similar to setting up a standard regression model using automated machine learning, but certain configuration options and pre-processing steps exist for working with time-series data.
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articles/machine-learning/tutorial-automated-ml-forecast.md

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title: Create demand forecasting models with automated ML
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title: Tutorial:Demand forecasting & AutoML
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titleSuffix: Azure Machine Learning
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description: Learn how to train and deploy a demand forecasting model with automated machine learning in Azure Machine Learning studio.
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services: machine-learning
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# Tutorial: Forecast demand with automated machine learning
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[!INCLUDE [applies-to-skus](../../includes/aml-applies-to-enterprise-sku.md)]
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In this tutorial, you use automated machine learning, or automated ML, in the Azure Machine Learning studio to create a time series forecasting model to predict rental demand for a bike sharing service.
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In this tutorial, you use automated machine learning, or automated ML, in the Azure Machine Learning studio to create a time-series forecasting model to predict rental demand for a bike sharing service.
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For a classification model example, see [Tutorial: Create a classification model with automated ML in Azure Machine Learning](tutorial-first-experiment-automated-ml.md).
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In this tutorial, you learn how to do the following tasks:
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> [!div class="checklist"]
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> * Create and load a dataset.
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> * Configure and run an automated ML experiment.
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> * Specify forecasting settings.
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> * Explore the experiment results.
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> * Deploy the best model.
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articles/machine-learning/tutorial-first-experiment-automated-ml.md

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With automated machine learning, you can automate away time intensive tasks. Automated machine learning rapidly iterates over many combinations of algorithms and hyperparameters to help you find the best model based on a success metric of your choosing.
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For a time-series forecasting example, see [Tutorial: Demand forecasting & AutoML](tutorial-automated-ml-forecast.md).
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In this tutorial, you learn how to do the following tasks:
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> [!div class="checklist"]

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