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Data Science Blog

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

decisionTree.png

New to Alteryx and ready to help improve the documentation, I'm clambering up another predictive suite tool: the decision tree.

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Alteryx Alumni (Retired)
Alteryx
Alteryx

Opioid Prescription Rates for CCGs in England Banner.png

Dr. Dan examines opioid abuse in England and compares it to behavior across the pond.

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Alteryx
Alteryx

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How does Alteryx Designer perform against Python's Pandas library? In this post I conduct 5 experiments with impressive results (post 2 of 2).

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Alteryx
Alteryx

pandas1.png

How does Alteryx Designer perform against Python's Pandas library? Here's how I set up the experiment (post 1 of 2).

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Alteryx
Alteryx

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No plan works as expected and not every connection is obvious. Our team discovered this through the use of Alteryx and Neo4j.

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Alteryx
Alteryx

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Want to use your analytics brain to get a competitive edge at fantasy football?  This article contains the secret to beating all your colleagues in your fantasy premier league. 

 

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Alteryx
Alteryx

Learn how team Helping Hands built an app to recommend opioid treatment facility locations during the HHS Opioid Code-a-Thon.

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Alteryx
Alteryx

Find out how the new Alteryx Direct Connection for Apache Spark functionality will open the floodgates on your Data Lake, unleashing its full potential.

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Alteryx
Alteryx

New to Alteryx and ready to help improve the documentation, I'm jumping in with both feet to tackle some of the wildest: the predictive suite.

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Alteryx
Alteryx

What's you favorite color in Alteryx?

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virajparekh94
Dark Matter

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This is meant to be used as a general tutorial for beginners with some experience in Python or R.

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Alteryx Alumni (Retired)

 

random-points-clustered.pngStep by step tutorial on using K-Means clustering to analyze your customer base.

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gshotwell
Matter

 

r-excel-graph.pngWhy learning new things is hard, plus four fundamental differences between Excel and R

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Alteryx Alumni (Retired)

Many if not most supervised-classification problems involve some degree of class imbalance, where at least one class occurs more frequently than the others.  The imbalanced-classification problem illustrates the value of approaching data-science problems as empirical (as well as formal) optimization problems, using techniques termed cost-sensitive learning. This post will show you how to do cost-sensitive binary classification.

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Alteryx Alumni (Retired)

 

flag_1.pngWhat is support vector machine and why should you use it?

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Kacawi
Matter

 

python-sklearn.pngThis cheat sheet is a handy reference for using the Scikit-Learn Python package

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Alteryx has a lot of built in functionality, but the ability to leverage custom R code opens up even more possibilities. After reading an answer on the Alteryx Community many months back, I was inspired to try and integrate Google Charts into an Alteryx workflow by using the R tool. 

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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)

Understanding fitting algorithms is the final hurdle between you and some juicy data science design patterns.  Make the leap! 

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Kacawi
Matter

 

datacamp-cheat.pngThis cheat sheet is a quick reference for Pandas beginners

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Alteryx Alumni (Retired)

Nothing is more stylish than a well-fitted induction algorithm.

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Alteryx Alumni (Retired)

Have you ever wanted to combine an intense plot-driven board game with Alteryx and R? Now's your chance!

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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)

 

random-forest-3.pngAn introduction to working with random forests using Python

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Alteryx
Alteryx

Alteryx isn't just a tool, it's a platform.  We'll explore this, Halloween style, using Python in a Jupyter notebook to connect to an Alteryx application that performs demographic clustering for candy sales data.

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Alteryx Alumni (Retired)

Learn why "all models are wrong, but some models are useful."

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Alteryx Alumni (Retired)

 

pig-with-classification.pngUsing a deep neural net to detect what's in an image.

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