johnmyleswhite/ML_for_Hackers resource
Code accompanying the book "Machine Learning for Hackers" 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: 5318
- days_rel: n/a
- days_push: 2656
- n_releases_24m: 0
Adoption not part of the score
3729 stars · 2177 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Companion code repository for the O'Reilly book 'Machine Learning for Hackers' (2012), containing R code examples for each chapter. It serves as a hands-on learning resource for practical machine learning in R.
Use cases
- learn machine learning with R through worked examples
- follow along with the Machine Learning for Hackers book
- find example R code for classification and regression
- study practical data analysis case studies in R
- get started with R packages for ML
When to choose
- you are reading the book and want its runnable code
- you prefer learning ML through R examples
- you want classic introductory ML case studies
When to avoid
- you need modern, maintained ML tooling or current best practices
- you work in Python rather than R
- you need a supported library with an active community
Facets
learning-resource · maturity maintenance
machine-learning data-science data-visualization machine-learning data-science tutorials python cross-platform r-language book-code oreilly code-examples
1 source
- readme: https://github.com/johnmyleswhite/ML_for_Hackers · fetched 2026-08-28 · eace4e2735a6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| johnmyleswhite/ML_for_Hackers | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="johnmyleswhite/ML_for_Hackers")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem