Gbenga Ayelabola

Discover how to build and deploy scalable Machine Learning models using Copilot and Power BI, empowering organisations to make smarter, data-driven decisions. This session explores how Copilot simplifies writing Python Machine Learning code, guiding participants from model creation to deployment in Power BI reports. Through hands-on demonstrations and real-world scenarios, attendees will learn how to harness the Python scripting option in Power BI to integrate Machine Learning models into interactive dashboards, enabling actionable insights. Attendees will uncover: 1. How to leverage Copilot for writing efficient and scalable Machine Learning code with minimal manual effort. 2. Best practices for ensuring consistent performance of models across diverse datasets. 3. A step-by-step walkthrough of deploying Python Machine Learning scripts in Power BI reports. 4. Real-world examples of using Machine Learning insights to drive better business decisions. This session offers practical demonstrations, actionable takeaways, and expert-level guidance, ensuring participants leave equipped with the skills and techniques to implement Machine Learning workflows in their organisations immediately. Github Repository to recreate the demo: https://github.com/gbengaayelab/DataScotland-BuildingMLwithCopilot-PowerBI Video Walkthrough for the demo: https://drive.google.com/file/d/1Ovzf0cC9ClstnqH7n682h3IfC7ri2xNv/view?usp=sharing Recorded Livestream: https://www.linkedin.com/video/live/urn:li:ugcPost:7372186618604183552/