Welcome to scikit-learn

• Installing scikit-learn
  • Installing the latest release
  • Third party distributions of scikit-learn
  • Troubleshooting
• Frequently Asked Questions
  • About the project
  • Implementation decisions
  • Contributing
  • Using scikit-learn
• Support
  • Mailing Lists
  • User Questions
  • Bug Tracker
  • Gitter
  • Documentation Resources
• Related Projects
  • Interoperability and framework enhancements
  • Other estimators and tasks
  • Statistical learning with Python
  • Translations of scikit-learn documentation
• About us
  • History
  • Governance
  • Authors
  • Documentation Team
  • Contributor Experience Team
  • Communication Team
  • Emeritus Core Developers
  • Emeritus Communication Team
  • Emeritus Contributor Experience Team
  • Citing scikit-learn
  • Artwork
  • Funding
  • Sprints
  • Infrastructure support
• Who is using scikit-learn?
  • J.P.Morgan
  • Spotify
  • Inria
  • betaworks
  • Hugging Face
  • Evernote
  • Télécom ParisTech
  • Booking.com
  • AWeber
  • Yhat
  • Rangespan
  • Birchbox
  • Bestofmedia Group
  • Change.org
  • PHIMECA Engineering
  • HowAboutWe
  • PeerIndex
  • DataRobot
  • OkCupid
  • Lovely
  • Data Publica
  • Machinalis
  • solido
  • INFONEA
  • Dataiku
  • Otto Group
  • Zopa
  • MARS
  • BNP Paribas Cardif
• Release History
  • Version 1.4
  • Version 1.3
  • Version 1.2
  • Version 1.1
  • Version 1.0
  • Version 0.24
  • Version 0.23
  • Version 0.22
  • Version 0.21
  • Version 0.20
  • Version 0.19
  • Version 0.18
  • Version 0.17
  • Version 0.16
  • Version 0.15
  • Version 0.14
  • Version 0.13
  • Older Versions
• Roadmap
  • Purpose of this document
  • Statement of purpose: Scikit-learn in 2018
  • Architectural / general goals
  • Subpackage-specific goals
• Scikit-learn governance and decision-making
  • Roles And Responsibilities
  • Decision Making Process
  • Enhancement proposals (SLEPs)