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title: "Tutorial: Logistic regression model in R"
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title: "Tutorial: Use R to create a machine learning model"
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titleSuffix: Azure Machine Learning
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description: In this tutorial, you create a logistic regression model using R packages azuremlsdk and caret to predict likelihood of a fatality in an automobile accident.
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description: In this tutorial you'll use the Azure Machine Learning R SDK to create a logistic regression model that predicts the likelihood of a fatality in a car accident.
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: core
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ms.date: 02/07/2020
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# Tutorial: Create a logistic regression model in R with Azure Machine Learning
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# Tutorial: Use R to create a machine learning model
In this tutorial you'll use R and Azure Machine Learning to create a logistic regression model that predicts the likelihood of a fatality in an automobile accident. After completing this tutorial, you'll have the practical knowledge of the Azure Machine Learning R SDK to scale up to developing more-complex experiments and workflows.
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In this tutorial you'll use the Azure Machine Learning R SDK to create a logistic regression model that predicts the likelihood of a fatality in a car accident. You'll see how the Azure Machine Learning cloud resources work with R to provide a scalable environment for training and deploying a model.
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In this tutorial, you perform the following tasks:
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> [!div class="checklist"]
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> * Deploy a prediction endpoint
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> * Test the model from R
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If you don’t have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree) today.
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If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://aka.ms/AMLFree) today.
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