Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on feature engineering, this complete hands-on guide teaches beginning-to-intermediate data scientists how to work with this widely practiced but little discussed topic.
Added by Emmanuelle Rieuf on September 7, 2017 at 8:00am — No Comments
This article was posted by Sunil Ray. Sunil is a Business Analytics and BI professional.
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Here’s a situation you’ve got…Continue
Added by Emmanuelle Rieuf on September 3, 2017 at 7:30am — No Comments