Creating correct and capable classifiers


Iteratively building a classifier requires a mix of skill, diagnostic ability and guesswork. I'll lay out a framework that helps you build reliable classifiers with greater confidence and less random guesswork. Tools demonstrated will include sklearn, YellowBrick, Shapley and pandas_profiling.

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Yellowbrick is a suite of visual diagnostic tools called “Visualizers” that extend the Scikit-Learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your models! For more on Yellowbrick, please see the About.

Editors Note:

I would like to work with open source projects to create a branch of the tree with all of the best videos for your open source project. Please send me an email if you are interested.