fengdu78/Data-Science-Notes resource
数据科学的笔记以及资料搜集 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2592
- days_rel: n/a
- days_push: 1843
- n_releases_24m: 0
Adoption not part of the score
8581 stars · 3108 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of Jupyter Notebook study notes and curated resources covering the data science stack, from math and Python basics through NumPy, pandas, scikit-learn, machine learning, deep learning, and feature engineering. Content is primarily in Chinese and compiled from the author's own notes plus aggregated GitHub resources.
Use cases
- learn data science from scratch with jupyter notebooks
- study machine learning basics in chinese
- find notes on numpy pandas and scikit-learn
- review deep learning fundamentals
- learn feature engineering techniques
- get a data science learning roadmap
When to choose
- you prefer Chinese-language study materials
- you want notebook-based tutorials spanning the full data science pipeline
- you need curated links to quality ML learning resources
When to avoid
- you need production-ready code or maintained libraries
- you require English-only materials
- you need content guaranteed to be up to date
Facets
learning-resource · maturity maintenance
data-science machine-learning deep-learning data-visualization data-science machine-learning deep-learning tutorials python cross-platform jupyter-notebooks study-notes chinese-language numpy pandas scikit-learn feature-engineering
1 source
- readme: https://github.com/fengdu78/Data-Science-Notes · fetched 2026-08-28 · f5d635b56e1f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| fengdu78/Data-Science-Notes | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="fengdu78/Data-Science-Notes")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem