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

Repository: https://github.com/krishnaik06/Machine-Learning-in-90-days
Canonical: https://ross.abutalabs.com/products/machine-learning-in-90-days
Language: Jupyter Notebook
License: GPL-3.0
License Family: copyleft
Last push: 2023-01-14T12:29:07+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2536, "days_push": 1327, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1410, forks 1593 (observed 2026-08-28T04:04:38.784383+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, data-science
- domain: machine-learning, tutorials, data-science
- platform: python
- tags: jupyter-notebooks, course, 90-days, krish-naik, self-study

## Member repositories
- krishnaik06/Machine-Learning-in-90-days (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:38.784383+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 2026-08-30T04:38:28.894370+00:00, confidence not recorded.
  - readme: https://github.com/krishnaik06/Machine-Learning-in-90-days (fetched 2026-08-28T04:04:38.784383+00:00, sha ce248c70db71)
- Data as of 2026-08-30T08:39:29.467469+00:00.