Machine Learning Times
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Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
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Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
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A Refresher on Continuous Versus Discrete Input Variables
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6 years ago
Wise Practitioner – Predictive Analytics Interview Series: Ashish Bansal and John Schlerf from Capital One

 In anticipation of their upcoming conference co-presentation, The Quest for Labeled Data:  Integrating Human Steps, at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Ashish Bansal, Senior Director, Data Science and John Schlerf, Data Scientist at Capital One, a few questions about their work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: These models are used to match credit card transactions to augmented merchant data to improve readability of online credit card statements. Q: How does predictive analytics deliver value for your customers – what is one specific

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