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Data Science Blog

Machine learning & data science for beginners and experts alike.
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Alteryx
Alteryx

MULTICOLLINEARITY.png

Dr. Dan imparts some intuition behind the problems associated with predictor collinearity (also known as multicollinearity), and provides some rules of thumb about when, and when not, to be concerned.

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Alteryx Alumni (Retired)

Most real-world data-science design patterns combine several models to solve a single business problem.  This post surveys the most common and effective techniques for combining models.  Once you make it through this post (and its predecessors), you'll be ready to take on the design patterns we'll begin learning in 2017. 

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Alteryx Alumni (Retired)

Cross validation (CV) is a difficult topic.  There are many ways to do CV, and articles on the subject can be very technical.  This blog post is a gentle introduction to CV.  Read it and you'll find it much easier to understand later posts describing data-science design patterns that use CV. 

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Alteryx Alumni (Retired)

An advanced-analytics model's induction algorithm is its prediction engine.  Learn what induction-algorithm features distinguish parametric statistical models and machine-learning models.

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Alteryx Alumni (Retired)

Citizen data scientist?  Learn design patterns that let you use Alteryx to build data-science expertise into your data analyses and analytical models!

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Alteryx Alumni (Retired)

Have you mastered the concepts discussed in Demystifying the R-based Tools, Part 1? Are you ready to take the next step on your Predictive Analytics journey? If so, this post is for you!

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Alteryx
Alteryx

 

bloated-gopher.jpgR can be a bit bloated someitmes. Learn how to make your R models more effecient.

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