# Visualize-ML/Book5_Essentials-of-Probability-and-Statistics

Book_5_《统计至简》 |   鸢尾花书：从加减乘除到机器学习；上架！

Repository: https://github.com/Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
Canonical: https://ross.abutalabs.com/products/book5_essentials-of-probability-and-statistics
Language: Jupyter Notebook
License Family: other
Topics: machine-learning, multivariate-statistics, pca, regression, statistics
Last push: 2026-05-01T14:42:17+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 80, release rhythm 35, longevity 100
- inputs: {"age_days": 1424, "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 3735, forks 766 (observed 2026-08-28T04:08:15.807984+00:00)

## What it is
An open-source Chinese-language textbook ('Statistics Made Simple', Book 5 of the Iris series) teaching probability, statistics, and multivariate methods from basics up to machine learning. It consists of Jupyter Notebooks with visual, code-driven explanations covering topics like regression and PCA.

## Use cases
- learn probability and statistics with Python code examples
- understand PCA and multivariate statistics visually
- study regression and statistics before learning machine learning
- find a free statistics textbook with runnable notebooks
- refresh math foundations for data science

## When to choose
- you want a visual, code-based introduction to statistics and probability
- you read Chinese and want a free structured textbook with Jupyter notebooks
- you need math foundations bridging basic arithmetic to machine learning

## When to avoid
- you need a production statistics software library rather than learning material
- you require an English-language textbook
- you need formally licensed content for redistribution, as no license is specified

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

## Member repositories
- Visualize-ML/Book5_Essentials-of-Probability-and-Statistics (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:15.807984+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 2026-08-29T18:29:11.515611+00:00, confidence not recorded.
  - readme: https://github.com/Visualize-ML/Book5_Essentials-of-Probability-and-Statistics (fetched 2026-08-28T04:08:15.807984+00:00, sha add8cc951010)
- Data as of 2026-08-30T08:39:29.467469+00:00.