Scikit-learn (SKlearn) is a Python library for machine learning. It offers a wide range of algorithms for tasks like classification, regression, clustering, and dimensionality reduction. Some notable algorithms include Decision Trees, Random Forests, Support Vector Machines.
-
Notifications
You must be signed in to change notification settings - Fork 0
Scikit-learn (SKlearn) is a Python library for machine learning. It offers a wide range of algorithms for tasks like classification, regression, clustering, and dimensionality reduction. Some notable algorithms include Decision Trees, Random Forests, Support Vector Machines.
Hamza034925/Machine-Learning-All-Algorithms-SKlearn-one-Page-Code
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Scikit-learn (SKlearn) is a Python library for machine learning. It offers a wide range of algorithms for tasks like classification, regression, clustering, and dimensionality reduction. Some notable algorithms include Decision Trees, Random Forests, Support Vector Machines.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published