80
I Use This!
Very High Activity
Analyzed 1 day ago. based on code collected 3 days ago.

Project Summary

scikit-learn is a Python module integrating various machine learning algorithms under a common interface. It offers a wide range of methods such as Support Vector Machines, linear models (L1, L2 penalized), logistic regression, gaussian mixture models and more. The large number of algorithms aleady implemented allows for easy comparison of accuracy and performance of various algorithms.

Tags

artificial-intelligence gmm kmeans machine_learning python research supervisedlearning supportvectormachine svm textclassification

BSD 3-clause "New" or "Revised" License
Permitted

Commercial Use

Modify

Distribute

Place Warranty

Forbidden

Hold Liable

Use Trademarks

Required

Include Copyright

Include License

These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

Did You Know...

  • ...
    use of OSS increased in 65% of companies in 2016
  • ...
    search using multiple tags to find exactly what you need
  • ...
    65% of companies leverage OSS to speed application development in 2016
  • ...
    compare projects before you chose one to use
About Project Security

Languages

HTML
86%
Python
11%
11 Other
3%

30 Day Summary

Apr 9 2025 — May 9 2025

12 Month Summary

May 9 2024 — May 9 2025
  • 2304 Commits
    Down -567 (19%) from previous 12 months
  • 255 Contributors
    Down -16 (5%) from previous 12 months

Ratings

8 users rate this project:
5.0
 
5.0/5.0
Click to add your rating
  
Review this Project!