intro-stat-learning/ISLP_labs resource
Up-to-date version of labs for ISLP observed · 2026-08-28
Health v2 · maintenance only
66/100
- Activity 83
- Release rhythm 35
- Longevity 81
Flags: no_releases
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: 1134
- days_rel: n/a
- days_push: 107
- n_releases_24m: 0
Adoption not part of the score
1377 stars · 814 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Up-to-date Jupyter notebook labs accompanying the textbook 'An Introduction to Statistical Learning with Python' (ISLP), maintained by the book's authors. It provides runnable notebooks with a reproducible uv-based environment setup.
Use cases
- work through ISLP textbook labs in Python
- learn statistical learning with hands-on notebooks
- reproduce ISLP lab results in a fresh environment
- practice regression and classification with scikit-learn
- set up a teaching environment for an intro stats learning course
When to choose
- you are studying the ISLP book and want the official, current labs
- you need reproducible notebook environments for teaching or self-study
- you want Python versions of the classic ISL labs
When to avoid
- you need production machine-learning code rather than educational notebooks
- you want labs for a different textbook
- you need a maintained software library rather than course materials
Facets
learning-resource · maturity active
data-science machine-learning developer-tools data-science machine-learning education tutorials python cross-platform jupyter-notebooks statistics islp textbook-labs regression classification
1 source
- readme: https://github.com/intro-stat-learning/ISLP_labs · fetched 2026-08-28 · 3064a31af1e1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| intro-stat-learning/ISLP_labs | main | 66 |
For agents
markdown · JSON · MCP: product_card(name="intro-stat-learning/ISLP_labs")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem