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machine-learning-lab-2026
machine-learning-lab-2026 contains 3 collected skills from ml-lab-federico-ii, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Produces a lesson plan in markdown format based on the syllabus scope and the dataset understanding. This plan will guide the notebook-writing phase and ensure that all necessary analyses are performed in a logical order Use this skill whenever the user asks to create a lesson notebook "from scratch", asks for "outline/plan" for a lessonm, even without creating the notebook immediately.
Generates a complete student lesson notebook (.py Jupytext percent-format) for the "Machine Learning for Financial Analysis" lab. Use this skill whenever the user asks to create, write, build, generate, or scaffold any lesson notebook, even if they only mention a topic or a lesson number without explicitly saying "notebook". Also use it when the user asks to add a new lesson, continue an existing lesson, or flesh out a lesson outline.
Generates the live coding version of a lesson notebook (.py Jupytext percent-format) by replacing 3–6 carefully chosen code blocks with TODO(LIVE) markers. Use this skill whenever the user asks to create a live coding notebook, a classroom version of a notebook, a version with TODO blocks for class, or wants to prepare a lesson for live demonstration with students. Also use it when the user says things like "voglio fare live coding sulla lezione X", "crea la versione per la classe", or "prepara il notebook con i TODO per la lezione".