krishnaik06/Machine-Learning-in-90-days resource
None 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
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
- readme: https://github.com/krishnaik06/Machine-Learning-in-90-days · fetched 2026-08-28 · ce248c70db71
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| krishnaik06/Machine-Learning-in-90-days | main | 32 |
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