# instillai/machine-learning-course

:speech_balloon: Machine Learning Course with Python:

Repository: https://github.com/instillai/machine-learning-course
Canonical: https://ross.abutalabs.com/products/machine-learning-course
Homepage: https://machine-learning-course.readthedocs.io/en/latest/
Language: Python
License Family: other
Topics: python, machine-learning, machine-learning-algorithms, artificial-intelligence, algorithms
Last push: 2024-11-27T03:47:57+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2757, "days_push": 644, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7043, forks 1232 (observed 2026-08-28T04:09:55.351191+00:00)

## What it is
An open-source machine learning course written in Python, providing tutorials and reference material on core ML algorithms and concepts. It includes documentation, a PDF book, and example code for learners.

## Use cases
- learn machine learning with python
- find a free ml course with code examples
- study machine learning algorithms from scratch
- reference material for supervised and unsupervised learning
- beginner-friendly introduction to artificial intelligence

## When to choose
- you want a free, code-driven introduction to machine learning in Python
- you prefer learning through notebooks and examples rather than heavy theory
- you need supplementary course material for teaching or self-study

## When to avoid
- you need production-ready machine learning libraries or frameworks
- you require actively maintained content with recent updates
- you need deep learning or LLM-specific training material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, developer-tools
- domain: machine-learning, artificial-intelligence, tutorials, education
- platform: python, cross-platform
- tags: course, python, open-course, algorithms, self-study

## Member repositories
- instillai/machine-learning-course (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:55.351191+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 2026-08-29T17:40:32.641138+00:00, confidence not recorded.
  - readme: https://github.com/instillai/machine-learning-course (fetched 2026-08-28T04:09:55.351191+00:00, sha 667612077d1c)
- Data as of 2026-08-30T08:39:29.467469+00:00.