Classical Machine Learning Fundamentals: Baselines, Features, Metrics, and Leakage

A practical two-hour session on Classical Machine Learning Fundamentals, focused on Baselines, Features, Metrics, and Leakage. Attendees work through concrete engineering tradeoffs, review examples, and leave with a checklist they can apply in real team projects.

Audience: entry-level and intermediate developers who want a practical engineering session, not a language tour.

Outcomes:

• Explain the practical boundaries of Classical Machine Learning Fundamentals
• Apply Baselines in a small working example
• Apply Features in a small working example
• Apply Metrics in a small working example

Format: two hours with a short framing walkthrough, a concrete example, discussion of tradeoffs, and a closing checklist for practice.