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Four Ways to Write Better Stan Code
12 July 2018 | by Mathew McLean
Writing Stan programs can be tricky so if you're already familiar with it - you're ahead of the curve. But maybe you want to find...

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What is a ROC Curve and How to Interpret It
05 July 2018 | by Carmen Chan

A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal…

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Predict Customer Churn with Gradient Boosting
03 July 2018 | by Jake Hoare

Customer churn is a key predictor of the long term success or failure of a business. But when it comes to all this data, what’s…

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How to Export LDA Functions from Q into Excel
14 December 2017 | by Chris Facer

When using linear discriminant analysis (LDA) in market research, a common need is to obtain what are known as discriminant functions. These allow the analysis…

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Exporting LDA Functions from Displayr into Excel
08 December 2017 | by Jake Hoare

In this post I show how discriminant functions can be extracted from a Linear Discriminant Analysis in Displayr. Such functions are often used in Excel…

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Using Displayr
How to run Linear Discriminant Analysis in Displayr
17 October 2017 | by Jake Hoare

In this post I explain how to perform Linear Discriminant Analysis in Displayr. Linear Discriminant Analysis is a machine learning technique that can be used…

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Linear Discriminant Analysis in R: An Introduction
11 October 2017 | by Jake Hoare

How does Linear Discriminant Analysis work and how do you use it in R? This post answers these questions and provides an introduction to Linear…

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Machine learning pruning
Machine Learning: Pruning Decision Trees
04 July 2017 | by Jake Hoare

Machine learning is a problem of trade-offs. The classic issue is overfitting versus underfitting. Overfitting happens when a model memorizes its training data so well…

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