Register now to attend the virtual ARCH Workshop, "Simplifying Machine Learning Model Development with AutoML," hosted by Billy Troy Wooton.
Workshop Description:
This hands-on workshop introduces core Python skills for working with structured healthcare data using Jupyter notebooks and common data science libraries such as Pandas, NumPy, and Matplotlib. Participants will practice loading, cleaning, and exploring datasets through a guided case study analyzing laboratory test data for patients with Type 2 diabetes.
Date/Time: Thursday, February 19, 2026 - 12:00 PM PT / 2:00 PM CT / 3:00 PM ET
Location: Virtual Workshop. The Zoom link will be provided upon registration.
Prerequisites for Workshop:
- Designed for participants with basic Python or data analysis experience; no prior machine-learning background is required.
What You'll Learn:
- How AutoML streamlines data preparation, model training, and performance tuning
- Hands-on use of AutoGluon to rapidly build and optimize predictive models
- Ways automated workflows reduce manual configuration while improving model accuracy
About ARCH:
The AI Resource Concierge for Health (ARCH) is supported by the National Institutes of Health AIM-AHEAD program.
ARCH Mission:
Support academic and community stakeholders in the adoption of AI/ML tools to advance their health and disease research goals.
ARCH Vision:
ARCH provides expert technical assistance, guidance, and collaboration to facilitate the adoption of AI/ML tools, supporting the AIM-AHEAD and wider research communities in leveraging these technologies to improve the health of the Nation.
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