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BR Deshpande
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  • Ann Arbor, MI
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Feature engineering for building clustering models

Posted on April 16, 2016 at 9:00am 0 Comments

We frequently get questions about whether we have chosen all the right parameters to build a machine learning model. There are two scenarios: either we have sufficient attributes (or variables) and we need to select the best ones OR we have only a handful of attributes and we need to know if these are impactful. Both are classic examples of feature engineering challenges

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