datawhalechina/team-learning-data-mining resource

Health v2 · maintenance only

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Adoption not part of the score

1858 stars · 820 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of open-source study materials for Datawhale's group learning programs in the data mining and machine learning direction. It contains Jupyter Notebook-based curricula covering math foundations, machine learning algorithms, data analysis, and applied data mining competitions.

Use cases

• learn machine learning fundamentals from scratch
• study linear algebra and probability statistics for data science
• practice data analysis with pandas on real datasets
• work through hands-on data mining competitions like rent price prediction
• learn ensemble learning and anomaly detection techniques
• follow a structured group study curriculum for data mining
• practice financial risk control modeling

When to choose

• you want free, structured, notebook-based tutorials for data mining and ML
• you prefer learning through hands-on practice with real competition datasets
• you are organizing or joining a group study program on machine learning
• you read Chinese and want beginner-friendly ML curricula

When to avoid

• you need production-ready machine learning code or libraries
• you require an actively maintained resource with recent updates
• you need English-language materials
• you want a formal course with certification

Facets

learning-resource · maturity maintenance

machine-learning data-science nlp machine-learning data-science tutorials education python cross-platform jupyter-notebooks team-learning chinese-language datawhale hands-on-tutorials anomaly-detection ensemble-learning data-analysis

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