Privacy-safe diagnostics, paths, and logging helpers for analytics projects.

Machine learning project investigating a deployed ML model by calling a live prediction API, varying input features, identifying decision boundaries, and interpreting model behavior from the outside.

We compare traditional tools with LLM-based tools to evaluate their effectiveness in data analytics education for non-computational professionals and students. Our approach, validated through two case studies, shows that using generative AI as the primary tool significantly improves learning efficiency and project development speed.

Default community health and LICENSE files for GC-STEM repositories, plus the public GC-STEM organization profile.