Jupyterlab-Scikit-learn
App
Provided by SZTAKI - Institute for Computer Science and Control 6 months, 3 weeks ago (last modified 6 months, 3 weeks ago); viewed 265 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