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esokolov/ml-course-hse resource

Машинное обучение на ФКН ВШЭ observed · 2026-08-28

github.com/esokolov/ml-course-hse · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

71/100

  • Activity 87
  • 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: 3650
  • days_rel: n/a
  • days_push: 81
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3864 stars · 1251 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Course materials for the Machine Learning course taught at the Faculty of Computer Science, Higher School of Economics (HSE). Includes lecture notes, seminar materials, homework assignments, and video recordings in Jupyter Notebook format.

Use cases

  • learn machine learning fundamentals
  • find university-level ML course homework assignments
  • study linear regression and classification with lecture notes
  • watch recorded ML lectures on gradient boosting and decision trees
  • practice ML with theory and coding assignments
  • self-study a complete ML curriculum

When to choose

  • you want a structured, university-quality ML course with notes, videos, and assignments
  • you prefer learning through homework and contests alongside theory
  • you are comfortable with Russian-language materials

When to avoid

  • you need production ML software or libraries
  • you require English-only materials
  • you need a license permitting redistribution of the content

Facets

learning-resource · maturity active

machine-learning machine-learning education tutorials python university-course lecture-notes homework jupyter-notebooks hse russian-language education

1 source

Member repositories

RepositoryRoleHealth v2
esokolov/ml-course-hsemain71

For agents

markdown · JSON · MCP: product_card(name="esokolov/ml-course-hse")

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