ML Model Debugging: Visualization is the Key!
Want to understand why machine learning models fail — and how to fix them? This hands-on session dives into practical ML debugging using visualization-driven techniques. Learn how to diagnose hidden model failure patterns, interpret learning curves and confusion matrices, analyze ROC performance, and investigate error patterns before changing model architecture. You’ll build a stronger, more…