suvoooo / Machine_Learning
Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Hands-on notebooks and scripts that explain some of the most important machine-learning and data-analysis techniques, from classical ML to new deep-learning ideas. Most of them come with a detailed blog post.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 29 days ago
- Stars
- 127
- On GitHub
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| Yorko / mlcourse.ai | 10,802 | 2 months ago | Custom | No downloads |
| nok / sklearn-porter | 1,304 | 3 days ago | BSD-3-Clause | No downloads |
| ethen8181 / machine-learning | 3,500 | 38 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Jupyter Notebook 100%
- Python <1%
Topics
- machine-learning
- pandas
- python3
- seaborn
- sklearn
Project record
- JobOther AI tools
- StatusListed
- Commits98
- Forks193
- Watching8
- Stars in 28 days0
- CreatedSep 19, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026