In this session we will explore how to do Machine Learning using all the latest and greatest InterSystems technologies. We will be building an ML model that will predict the risk of stroke for patients based on past data about patient characteristics and whether they had a stroke. And we will incorporate that ML prediction right into a hospital census application for the clinicians. Through this we will learn these four topics:
- Feature Engineering using InterSystems SQL.
- Training an ML model using our InterSystems IntegratedML.
- Training an ML model using a Jupyter Notebook and Python connected to data in IRIS.
- Incorporating ML models into an application using ObjectScript and Embedded Python.

Your instructors are Don Woodlock, Marta Manzin, Agustin Forero, and Alex MacLeod.
This tutorial contains coding but no prior SQL, ML, Python, or ObjectScript experience is really required but comfort around coding would be useful.

This zip file will be needed for the tutorial: http://www.donwoodlock.com/ML202-May2...

This link will be helpful as well at one point in the video:
localhost:9092/csp/sys/%25CSP.Portal.Home.zen

Here is a cheat sheet for the python code in the last section:
http://www.donwoodlock.com/ML202-May2...

At the end, you can do the following command to take down the containers:
docker compose down -v