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leehanchung / awesome-full-stack-machine-learning-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

Why this job: name: awesome; says: curated list

What it does

This is a curated list of publicly accessible machine learning courses from top universities such as Berkeley, Harvard, Stanford, and MIT. It also includes machine learning project case studies from large and experienced companies. The list is broken down by topics and areas of specialization. Python is the preferred language of choice as it covers end-to-end machine learning engineering.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Inactive
Last commit 7 months ago
Stars
538
On GitHub
Licence
CC0-1.0
Read the terms
Downloads for
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Latest version
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No releases
Built with
JavaScript
57% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
0% closed
1 still open
Pull requests
1 merged
8 waiting
Releases
None
Never published
More: languages, topics and project record

Languages

  • JavaScript 57%
  • CSS 22%
  • Python 21%

Topics

  • machine-learning
  • deep-learning
  • deep-neural-networks
  • berkeley
  • reinforcement-learning
  • stanford
  • udemy
  • caltech
  • columbia-university
  • berkeley-ai
  • berkeley-reinforcement-learning
  • edx-columbiax

Project record

  • JobLists and guides
  • StatusListed
  • Commits91
  • Forks111
  • Watching7
  • Stars in 28 days+2
  • CreatedOct 31, 2019
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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