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*What are Tree Methods?*

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Tree methods are commonly used in data science to understand patterns within data and to build predictive models. The term Tree Methods covers a variety of techniques with different levels of complexity but my aim is to highlight three I find useful. To set the problem up let’s assume we have a census dataset containing age, education, employment status and so on. Given all this information we want to see if we can predict whether a person…

ContinueAdded by Dan Kellett on April 12, 2016 at 1:33am — 1 Comment

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- Making data science accessible - Machine Learning – Tree Methods
- Making data science accessible – HDFS

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