sklearn-doc-zh is a Chinese-language translation of the scikit-learn machine learning library documentation.
The project addresses the need for scikit-learn documentation in Chinese, making the library's guides, API reference, and examples accessible to developers who prefer to learn in that language. It provides a translated version of the official documentation alongside code examples, allowing users to understand both the concepts and practical applications of scikit-learn's tools for data mining and analysis.
Developers should adopt this translation if they work primarily in Chinese or support Chinese-speaking teams learning machine learning with scikit-learn. The project suits anyone building data analysis or machine learning projects who benefits from documentation in their native language. The translation covers the core scikit-learn functionality built on NumPy, SciPy, and matplotlib, and is available both as a browsable website and as an EPUB download for offline access.
The project maintains an active translation and review effort, with contributors working to keep the documentation current and accurate. Community participation is organized through dedicated channels for translation and proofreading work.
