Until now, users had to run Python code on Microsoft Azure’s cloud servers. To provide Python in Excel locally, Anaconda used Microsoft’s existing Excel plugin capabilities combined with their own ...

Interactivity: By their nature, Plotly plots are response, equipped with hover ability, links, and ability to be made responsive themselves. Wide Range of Plots: Some of the available charts on Plotly ...

The facets project contains two visualizations for understanding and analyzing machine learning datasets: Facets Overview and Facets Dive. The visualizations are implemented as Polymer web components, ...

To run meta-visualization on your data, move Python Code/meta_visualization.py to your working directory and import using: from meta_visualization import meta_viz. Currently, the only dependencies are ...

This article was originally published on Live Code Stream by Juan Cruz Martinez (twitter: @bajcmartinez), founder and publisher of Live Code Stream, entrepreneur, developer, author, speaker, and ...

Developers must import a Python library into their Python code in order to use it. ... SHAP value visualizations, and other crucial interpretation aids after the model has been trained. ...

To use their time efficiently, I recommend three separate activities: Implement as much of the data quality, data lineage, and A/B testing as possible on golden data sets.