Machine Learning (ML) may sound complex, but with ML.NET, Microsoft’s open-source ML framework, it becomes approachable for any .NET developer.

In this hands-on session, we’ll break down the basics of Machine Learning, explore how it works in real-world scenarios, and build a simple predictor for the global average temperature using real-world data from Kaggle.

By the end of the session, you’ll have written your first ML.NET model and gained a practical understanding of how to bring ML into your .NET projects.