Let’s talk Decision Trees! 🌳💻

This session is a deep dive into Decision Trees, a foundational Machine Learning algorithm that uses a tree-like model of decisions and their possible consequences.
Attendees will learn the fundamental mechanics of how machines make logical choices, how to handle classification and regression tasks, and best practices for building models that are both accurate and interpretable.

This session offers a unique opportunity to demystify the “black box” of AI through a supportive community lens, moving beyond theory into actual implementation. We’ll explore how these models mimic human decision-making to solve real-world problems, and to ensure you leave with practical skills, I will be leading a hands-on coding workshop at the end where we will build and visualize a working model together in real-time.