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krishnaik06/Machine-Learning-in-90-days resource

None observed · 2026-08-28

github.com/krishnaik06/Machine-Learning-in-90-days · Jupyter Notebook · GPL-3.0 (copyleft) 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: 2536
  • days_rel: n/a
  • days_push: 1327
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1410 stars · 1593 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Jupyter Notebook-based course repository by Krish Naik covering machine learning fundamentals over 90 days. It provides structured notebooks for learning ML concepts and hands-on practice.

Use cases

  • learn machine learning in 90 days
  • find machine learning tutorial notebooks
  • self-study ML with jupyter notebooks
  • beginner machine learning course material
  • practice data science concepts in python

When to choose

  • you want a structured, notebook-driven ML curriculum
  • you prefer learning by running code examples
  • you are a beginner following a day-by-day plan

When to avoid

  • you need production-ready ML code or libraries
  • you want an actively updated course with recent releases
  • you need deep-learning-focused material only

Facets

learning-resource · maturity maintenance

machine-learning data-science machine-learning tutorials data-science python jupyter-notebooks course 90-days krish-naik self-study

1 source

Member repositories

RepositoryRoleHealth v2
krishnaik06/Machine-Learning-in-90-daysmain32

For agents

markdown · JSON · MCP: product_card(name="krishnaik06/Machine-Learning-in-90-days")

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