# DataTalksClub/machine-learning-zoomcamp

Learn ML engineering for free in 4 months! Register here 👇🏼

Repository: https://github.com/DataTalksClub/machine-learning-zoomcamp
Canonical: https://ross.abutalabs.com/products/machine-learning-zoomcamp
Homepage: https://courses.datatalks.club/register/ml-zoomcamp/
Language: Jupyter Notebook
License Family: other
Topics: course, deployment, docker, fastapi, kubernetes, machine-learning, pytorch, tensorflow
Last push: 2026-08-25T08:26:40+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 11, longevity 100
- inputs: {"age_days": 2329, "days_push": 8, "days_rel": 383, "gap_med": null, "n_releases_24m": 1}
- 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 14031, forks 3109 (observed 2026-08-28T04:11:05.332779+00:00)

## What it is
A free 4-month cohort-based course from DataTalks.Club teaching machine learning engineering, covering the full path from problem framing and model training to deployment with Docker, FastAPI, and Kubernetes. Course materials include Jupyter Notebook lessons, videos, homework, and community support via Slack and Telegram.

## Use cases
- learn machine learning engineering for free
- learn to deploy ML models to production
- hands-on ML course with projects and homework
- learn Docker and Kubernetes for ML deployment
- transition from data science to ML engineering
- find a structured ML course with a cohort
- learn FastAPI for serving ML models

## When to choose
- you want a free, structured, cohort-based ML engineering curriculum
- you learn best by building and deploying real projects
- you want coverage of the full ML lifecycle including deployment
- you value community support via Slack, Telegram, and videos

## When to avoid
- you only want ML theory or math without engineering practice
- you need an official certification or accredited credential
- you prefer self-paced learning without homework deadlines
- you want a course on deep learning research rather than production ML

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deployment, etl
- domain: machine-learning, education, tutorials, data-science
- platform: python, cross-platform
- tags: free-course, ml-engineering, zoomcamp, jupyter-notebooks, fastapi, pytorch, tensorflow, cohort-based, docker, kubernetes

## Member repositories
- DataTalksClub/machine-learning-zoomcamp (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:05.332779+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 2026-08-29T17:12:52.079693+00:00, confidence not recorded.
  - readme: https://github.com/DataTalksClub/machine-learning-zoomcamp (fetched 2026-08-28T04:11:05.332779+00:00, sha 6ab6d535c5c6)
  - homepage: https://courses.datatalks.club/register/ml-zoomcamp/ (fetched 2026-08-29T08:06:46.770589+00:00, sha 38351dd4e85c)
- Data as of 2026-08-30T08:39:29.467469+00:00.