SQL Data Warehouse data science walkthroughs using T-SQL and Python on Azure
These walkthroughs use of SQL Data Warehouse to do predictive analytics. They follow the steps outlined in the Team Data Science Process. For an overview of the Team Data Science Process, see Data Science Process. For an introduction to SQL Data Warehouse, see What is Azure SQL Data Warehouse?
Additional data science walkthroughs that execute the Team Data Science Process are grouped by the platform that they use. See Walkthroughs executing the Team Data Science Process for an itemization of these examples.
Predict taxi tips using T-SQL and IPython notebooks with SQL Data Warehouse
The Use SQL Data Warehouse walkthrough shows you how to build and deploy machine learning classification and regression models using SQL Data Warehouse (SQL DW) for a publicly available NYC taxi trip and fare dataset.
For a discussion of the key components that comprise the Team Data Science Process, see Team Data Science Process overview.
For a discussion of the Team Data Science Process lifecycle that you can use to structure your data science projects, see Team Data Science Process lifecycle. The lifecycle outlines the steps, from start to finish, that projects usually follow when they are executed.