Python tutorials for SQL machine learning

Applies to: SQL Server 2017 (14.x) and later Azure SQL Managed Instance

This article describes the Python tutorials and quickstarts for Machine Learning Services on SQL Server and on Big Data Clusters.

Python tutorials

Tutorial	Description
Predict ski rental with linear regression	Use Python and linear regression to predict the number of ski rentals. Use notebooks in Azure Data Studio for preparing data and training the model, and T-SQL for model deployment.
Categorizing customers using k-means clustering	Use Python to develop and deploy a K-Means clustering model to categorize customers. Use notebooks in Azure Data Studio for preparing data and training the model, and T-SQL for model deployment.
Create a model using revoscalepy	Demonstrates how to run code from a remote Python client using SQL Server as compute context. The tutorial creates a model using rxLinMod from the revoscalepy library.
Python data analytics for SQL developers	This end-to-end walkthrough demonstrates the process of building a complete Python solution using T-SQL.

Python quickstarts

If you are new to SQL machine learning, you can also try the Python quickstarts.

Quickstart	Description
Run simple Python scripts	Learn the basics of how to call Python in T-SQL using sp_execute_external_script.
Data structures and objects using Python	Shows how SQL uses the Python pandas package to handle data structures.
Create and score a predictive model in Python	Explains how to create, train, and use a Python model to make predictions from new data.

Next steps

• Python extension in SQL Server