scikit-learn
k-dense-ai1.9k installs
Build Python models without leaking test data.
What it does
Guides the creation and evaluation of Python machine-learning models and pipelines with scikit-learn.
When to use it
Use when building, comparing, tuning, or evaluating classical machine-learning models, preprocessing data, or creating pipelines.
How to use it
It changes how the agent builds and evaluates scikit-learn models, keeping learned preprocessing inside pipelines and cross-validation folds.
What you provide
- An existing project
Uses
Good to know
- advertises something the task does not need
Latest review
What you need · 3
Requires Python 3.11+; the installation guidance says the examples were verified with Python 3.13.
Targets scikit-learn 1.9.1, installed under the package name scikit-learn and imported as sklearn.
Access · 2
This skill
arXiv
Read
Checks citation metadata on arXiv
scikit-learn
Execute
Installs packages for bundled examples