# asadoughi/stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

Repository: https://github.com/asadoughi/stat-learning
Canonical: https://ross.abutalabs.com/products/stat-learning
Homepage: http://asadoughi.github.io/stat-learning
Language: HTML
License Family: other
Last push: 2023-02-14T18:13:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4735, "days_push": 1296, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2144, forks 1584 (observed 2026-08-28T04:06:18.634417+00:00)

## What it is
Unofficial notes and exercise solutions for the textbook 'An Introduction to Statistical Learning' (ISLR). It provides worked answers to the book's exercises, rendered as an indexed website.

## Use cases
- find solutions to ISLR exercises
- study statistical learning with worked examples
- check my answers to An Introduction to Statistical Learning
- learn machine learning concepts from ISLR
- supplement self-study of the statlearning book

## When to choose
- you are self-studying ISLR and want to verify your exercise answers
- you want community-contributed worked solutions to the book's labs and exercises

## When to avoid
- you need a maintained software library or tool for statistical learning
- you require officially verified or instructor-approved solutions
- you need production machine learning code

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, machine-learning
- domain: machine-learning, data-science, education, tutorials
- platform: python
- tags: statistical-learning, exercise-solutions, islr, study-notes, r, jupyter

## Member repositories
- asadoughi/stat-learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:18.634417+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:51:13.429786+00:00, confidence not recorded.
  - readme: https://github.com/asadoughi/stat-learning (fetched 2026-08-28T04:06:18.634417+00:00, sha c78cb248861c)
  - homepage: http://asadoughi.github.io/stat-learning (fetched 2026-08-29T10:31:13.005158+00:00, sha 3de4f6fe6fef)
- Data as of 2026-08-30T08:39:29.467469+00:00.