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Visualizations of machine learning models and algorithms

License: MIT License

JavaScript 0.55% Python 16.92% CSS 1.03% HTML 2.52% Jupyter Notebook 78.98%

mlviz's Introduction

Notebooks containing theoretical and applied machine learning algorithms/models. All the examples are built using the jupyter widget libraries (ipywidgets and bqplot). voila is used to render the notebooks as code less dashboards.

View the live mlviz gallery live at https://chakricherukuri.github.io/mlviz/

Environment Setup (for running the notebooks)

If you have miniconda distribution, then do the following steps to start the jupyter notebook:

  • create conda env called mlviz (one time setup)
$ conda env create -f environment.yml
  • activate mlviz conda env
$ conda activate mlviz
  • start jupyter notebook server
$ jupyter notebook
  • Access the index to all the dashboards using the following link

http://localhost:8888/voila/render/notebooks/Index.ipynb

mlviz's People

Contributors

chakricherukuri avatar

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