scikit-learnby K-DenseDataGitHub stars: 47.3k
scikit-learn skill: what it does and how to install it
Machine learning in Python with scikit-learn: classification, regression, clustering, model evaluation and tuning.
Install
$ npx skills add K-Dense-AI/scientific-agent-skills --skill scikit-learnRun it in a terminal. If your agent is already running, start a new session so it picks the skill up.
About this skill
Machine learning in Python with scikit-learn: classification, regression, clustering, model evaluation and tuning.
History
Repo stars
47.3kAbout +18.6k since 9 Jul 2026
Before 1 Oct 2026 the curve is estimated from public event data.
Stars are counted for the whole repository, which holds 26 skills.
Show as a table
| Date | Repo stars |
|---|---|
| 1 Oct 2026 | 47,271 |
| 24 Sept 2026 (estimated) | 46,976 |
| 17 Sept 2026 (estimated) | 46,257 |
| 10 Sept 2026 (estimated) | 41,836 |
| 3 Sept 2026 (estimated) | 30,545 |
| 27 Aug 2026 (estimated) | 29,347 |
| 20 Aug 2026 (estimated) | 29,160 |
| 13 Aug 2026 (estimated) | 29,027 |
| 6 Aug 2026 (estimated) | 28,947 |
| 30 Jul 2026 (estimated) | 28,894 |
| 23 Jul 2026 (estimated) | 28,894 |
| 16 Jul 2026 (estimated) | 28,841 |
| 9 Jul 2026 (estimated) | 28,708 |
Installs
1.9k
Tracking since . A chart appears once there are 7 days of data.
Installs via skills.sh
Similar skills
- NetworkXCreates, analyses and visualises networks and graphs in Python with NetworkX.
- PolarsReference for Polars, the Python DataFrame library: expressions, lazy queries, streaming and migration from pandas.
- PyMCBuilds Bayesian models with PyMC: hierarchical models, MCMC, variational inference and model comparison.