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Analyzed 2 days ago. based on code collected 2 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

In a Nutshell, scikit-learn...

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Project Security

Vulnerabilities per Version ( last 10 releases )

Project Vulnerability Report

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Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Languages?height=75&width=75
Python
93%
8 Other
7%

30 Day Summary

Oct 24 2020 — Nov 23 2020

12 Month Summary

Nov 23 2019 — Nov 23 2020
  • 1443 Commits
    Up + 31 (2%) from previous 12 months
  • 413 Contributors
    Up + 13 (3%) from previous 12 months