Azure ML tutorials is a 10 part series. We will start with an introduction to Azure Machine Learning Studio, subscriptions required to create an account in Azure, and its pricing. r_break We’ll explore how to import and export data from a variety of sources: HTTP, Azure SQL database, Hadoop Hive query, or Azure Storage Blobs and learn to create workspace and experiment in Azure ML. r_break We will be showing an end-to-end data exploration science project using one of the data sets and build a data mining strategy and perform preliminary exploration into the dataset using Azure Machine Learning’s dataset module. r_breakWe will also cover summary statistics and data transformation, and build a machine learning model in Azure ML.
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What You'll Learn
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Creating an Azure ML account
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Creating workspace and experiments in Azure
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Importing and exporting data into Azure ML
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Data mining strategy and data exploration techniques using Azure ML
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Building a predictive model and test the accuracy of the model
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Requirements
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