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Jupyterlab-Scikit-learn

App

Provided by SZTAKI - Institute for Computer Science and Control 9 months ago (last modified 9 months ago); viewed 326 times and licensed 1 time

Description:

Scikit-learn is an open-source software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. Scikit-learn is a NumFOCUS fiscally sponsored project.

A computational notebook is a shareable document that combines computer code, plain language descriptions, data, rich visualizations like 3D models, charts, graphs and figures, and interactive controls. A notebook, along with an editor like JupyterLab, provides a fast interactive environment for prototyping and explaining code, exploring and visualizing data, and sharing ideas with others.

Input parameters:

JUPYTER_PASSWORD: Jupyter GUI password

Default port(s):

80: JupyterLab GUI port

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GitHub: https://github.com/DIGITbrain/bb-jupyter-scikit-learn