# girls-in-ai/Girls-In-AI

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

Repository: https://github.com/girls-in-ai/Girls-In-AI
Canonical: https://ross.abutalabs.com/products/girls-in-ai
Homepage: http://girls-in-ai.github.io/Girls-In-AI/
Language: Jupyter Notebook
License Family: other
Topics: machine-learning, deep-learning, girl, python3, kaggle, jupyter-notebook
Last push: 2019-07-05T06:44:50+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2799, "days_push": 2616, "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 3385, forks 496 (observed 2026-08-28T04:07:58.716260+00:00)

## What it is
Girls-In-AI is a free, Chinese-language curriculum that takes complete programming beginners through Python basics, data analysis with Pandas and Matplotlib, machine learning, deep learning, and Kaggle practice. Lessons are published as a 'machine learning diary' series of Jupyter Notebook-based tutorials aimed at encouraging women to enter AI engineering.

## Use cases
- learn python from zero as a complete beginner
- learn data analysis with pandas and matplotlib
- get started with machine learning through tutorials
- practice kaggle competitions like titanic
- find a structured beginner AI curriculum in chinese
- learn jupyter notebook and anaconda setup

## When to choose
- you are a Chinese-speaking absolute beginner wanting a free step-by-step path into Python and AI
- you prefer learn-by-doing diary-style lessons in Jupyter Notebook
- you want a curriculum covering Python, data analysis, ML, and Kaggle in one place

## When to avoid
- you need up-to-date course material - the repo has not been updated since 2019
- you want English-language instruction
- you are an experienced developer looking for advanced ML content
- you need a maintained project with a license or active support

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, data-science, deep-learning
- domain: education, machine-learning, data-science, tutorials
- platform: python, cross-platform, jvm
- tags: jupyter-notebook, kaggle, beginner-friendly, python-tutorial, women-in-tech, chinese-language, pandas, matplotlib, free-course

## Member repositories
- girls-in-ai/Girls-In-AI (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:58.716260+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 2026-08-29T18:39:28.326920+00:00, confidence not recorded.
  - readme: https://github.com/girls-in-ai/Girls-In-AI (fetched 2026-08-28T04:07:58.716260+00:00, sha 41e289ce2f53)
  - homepage: http://girls-in-ai.github.io/Girls-In-AI/ (fetched 2026-08-29T09:33:23.410774+00:00, sha 11b767efd23e)
- Data as of 2026-08-30T08:39:29.467469+00:00.