Bike-share tutorial - Advanced data preparation with Azure Machine Learning Workbench

Azure Machine Learning services (preview) is an integrated, end-to-end data science, and advanced analytics solution for professional data scientists to prepare data, develop experiments and deploy models at cloud scale. This tutorial only prepares the data, it does not build the prediction model. You can use the prepared data to train your own prediction models. For example, you might create a model to predict bike demand during a 2-hour window. This tutorial uses the Boston Hubway dataset and Boston weather data from NOAA. The Hubway data is organized into files by year and month. For example, the file named 201501-hubway-tripdata.zip Create a new Azure Machine Learning project. Create a new data source. This displays the Data View. Select the icon and then select Add Data Source.