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Displaying articles for: March 2020
You want to jump right into that fantastic dataset, but wait! Let's do some exploration to map out your journey and gain even more insight.
While Dask can also be used for cluster computing, we wanted to demonstrate that Featuretools can run on multiple distributed computing frameworks.
In this article, we’ll see how to refactor our automated feature engineering code to run in parallel on all our laptop’s cores, in the process reducing computation time by over 8x.
Feature engineering is challenging because it depends on leveraging human intuition to interpret implicit signals in datasets that machine learning algorithms use. Consequently, fe...
An industry report from 2015 found that one out of every six legitimate cardholders experienced at least one declined transaction because of inaccurate fraud detection in the past...
Yin and yang, spaghetti and meatballs, ham and cheese. All these combinations work in perfect harmony. Now the challenge is: “How can data scientists and analysts also work in perf...
Personalized choice architecture is a new field, aiming to predict and influence individuals’ choices. The traditional behavioral economics aim to nudge a generic persona in a popu...
In this post, I am going to help you understand what a confusion matrix is, and also show you where and how you can implement this powerful tool in Alteryx.