section-ml-ai

What problem does it solve?

Generating comprehensive ML/AI tutorials for R that integrate theory, practical workflows, reproducibility, and ready-to-use templates, helping learners and practitioners quickly create end-to-end guides.

Core Features & Use Cases

• Theory-to-practice pipelines: from algorithm principles to reproducible R workflows using mlr3 and tidymodels.
• Templates & standards: YAML frontmatter, 10xx-*.rmd file naming convention, and ready-to-run scaffolds for consistent tutorials.
• Use Case: Researchers and data scientists can generate tutorials covering classification, regression, clustering, feature engineering, hyperparameter tuning, and model evaluation with built-in explainability sections.

Quick Start

Run the ML/AI tutorial generator to create a complete R tutorial following the standard workflow template.