amitkaps/hackermath resource
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 3754
- days_rel: n/a
- days_push: 3202
- n_releases_24m: 0
Adoption not part of the score
1452 stars · 280 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A workshop-style collection of Jupyter notebooks teaching the math behind data science (statistics, linear algebra, calculus) through hands-on Python coding. It covers hypothesis testing, supervised learning, and unsupervised learning with a code-first 'hacker's way' approach.
Use cases
- learn statistics for data science
- brush up on linear algebra for machine learning
- understand the math behind regression and PCA
- learn hypothesis testing with Python code
- prepare for a data science career as a programmer
- teach a data science math workshop
When to choose
- you learn best by writing code rather than reading proofs
- you're a programmer transitioning into data science
- you want a practical, application-driven intro to ML math
- you want runnable notebooks you can explore in Binder
When to avoid
- you need a rigorous, proof-based mathematics textbook
- you want comprehensive coverage of modern deep learning
- you need actively maintained course content - the material dates from 2017
- you're an absolute beginner with no programming background
Facets
learning-resource · maturity maintenance
machine-learning data-science math machine-learning data-science education tutorials python cross-platform jupyter-notebooks statistics linear-algebra workshop hypothesis-testing
1 source
- readme: https://github.com/amitkaps/hackermath · fetched 2026-08-28 · 4f55babb25dc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| amitkaps/hackermath | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="amitkaps/hackermath")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem