Interactive ML Learning

Teach ML concepts interactively using structured course materials, Socratic questioning, and multiple interaction modes.

Available Courses

CS229 Stanford ML (17 chapters, 5 parts)

Location: ${CLAUDE_SKILL_DIR}/courses/cs229/

Stanford's graduate ML course covering supervised learning, deep learning, generalization, unsupervised learning, and reinfortic learning.

Applied ML Python — University of Michigan (4 modules)

Location: ${CLAUDE_SKILL_DIR}/courses/applied-ml/

Practical ML with video transcripts, slides, readings, and notebooks. Bridges theory with hands-on Python implementation.

ML Engineering (36 lessons, 9 modules)

Location: ${CLAUDE_SKILL_DIR}/courses/ml-engineering/