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scikit-learn

Python machine-learning library for classical models, pipelines and metrics.

Data Science

scikit-learn is python machine-learning library for classical models, pipelines and metrics.

A free or free-to-try option is available; check the official site for current limits.

OFFICIAL SOURCE

Source and setup notes

This source repository is connected to the existing product listing. The product and the source code may have different access terms.

Maintainer
scikit-learn
Main language
Python
Repository licence
BSD-3-Clause
Source checked
2026-10-16
Repository updated
2026-10-16

Topics found in the project README

Test tooling

README mentions help with shortlisting; they are not installation tests or a promise that every integration is supported.

Read the installation instructions ↗

Costs to check separately

Check current plans, usage allowances and any asset-specific licence with the provider before committing to a project. A Wrowo listing does not include a provider subscription.

Source profile, not a hands-on review. Suggest a correction · Editorial policy

Key features

✓ Estimators
✓ Pipelines
✓ Metrics
✓ Preprocessing
✓ Model selection

Use cases

Classical MLBaselinesTeaching

FAQ

What is scikit-learn used for?

Python machine-learning library for classical models, pipelines and metrics.

Does scikit-learn have a free plan?

Yes, there is a free or free-to-try option.

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