Ross ROSS = Recommend OSS · open-source software intelligence for agents

ml874/Data-Science-Cheatsheet resource

None observed · 2026-08-28

github.com/ml874/Data-Science-Cheatsheet · TeX 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 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2945
  • days_rel: n/a
  • days_push: 1445
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2572 stars · 606 forks observed · 2026-08-28

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

A 9-page data science cheatsheet written in TeX covering probability, statistics, statistical learning, machine learning, big data frameworks, SQL, and graph theory. It is a study reference loosely based on The Data Science Design Manual and An Introduction to Statistical Learning.

Use cases

  • review data science concepts before an interview
  • quick reference for probability and statistics formulas
  • study machine learning fundamentals
  • brush up on SQL and big data frameworks
  • printable data science study sheet

When to choose

  • you need a compact printable reference for data science fundamentals
  • you are preparing for data science interviews
  • you want a free summary of statistical learning concepts

When to avoid

  • you need interactive tutorials or runnable code examples
  • you need deep, comprehensive coverage of any single topic
  • you need a commercial-use resource (CC BY-NC-SA license)

Facets

learning-resource · maturity maintenance

documentation data-science data-science machine-learning tutorials education cross-platform cheatsheet reference-guide statistics probability sql interview-prep tex

1 source

Member repositories

RepositoryRoleHealth v2
ml874/Data-Science-Cheatsheetmain32

For agents

markdown · JSON · MCP: product_card(name="ml874/Data-Science-Cheatsheet")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem