# Visualize-ML/Book6_First-Course-in-Data-Science

Book_6_《数据有道》 |   鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！

Repository: https://github.com/Visualize-ML/Book6_First-Course-in-Data-Science
Canonical: https://ross.abutalabs.com/products/book6_first-course-in-data-science
Language: Jupyter Notebook
License Family: other
Topics: data, data-science, data-visualization, feature-engineering, machine-learning, python
Last push: 2026-05-01T14:41:59+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 80, release rhythm 35, longevity 100
- inputs: {"age_days": 1423, "days_push": 124, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2729, forks 493 (observed 2026-08-28T04:07:15.999758+00:00)

## What it is
An open-source Chinese-language textbook (Book 6 of the 'Iris' series, 《数据有道》) teaching data science from basic arithmetic through machine learning, provided as Jupyter Notebooks. It is part of Visualize-ML's book series covering math essentials, matrices, statistics, and data science with extensive visualizations.

## Use cases
- learn data science from scratch with python notebooks
- study statistics and math foundations for machine learning
- learn data visualization techniques
- practice feature engineering with examples
- self-study machine learning fundamentals
- find a free open data science textbook in chinese

## When to choose
- you want a free, visualization-heavy introduction to data science and ML
- you prefer learning through runnable Jupyter Notebooks
- you need math and statistics foundations before diving into ML
- you read Chinese and want a structured book series

## When to avoid
- you need production-ready data science code or libraries
- you require an English-language resource
- you want a formal course with certification or exercises graded by instructors

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-science, data-visualization, machine-learning
- domain: data-science, data-visualization, machine-learning, education, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, open-textbook, statistics, mathematics, chinese-language, iris-book-series, feature-engineering

## Member repositories
- Visualize-ML/Book6_First-Course-in-Data-Science (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:15.999758+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:14:42.017859+00:00, confidence not recorded.
  - readme: https://github.com/Visualize-ML/Book6_First-Course-in-Data-Science (fetched 2026-08-28T04:07:15.999758+00:00, sha add8cc951010)
- Data as of 2026-08-30T08:39:29.467469+00:00.