ML #13 - Basic feature engineering in healthcare
Hosted by Taylor Miller and Taylor Larsen
May 18, 2017 - 20min
Many experts say feature engineering is the most important part of machine learning. In this episode we’ll discuss 1) handling missing data, 2) transforming variables in a practical way, 3) incorporating time into your model, and 4) efficiently leveraging your domain expertise.
What topic or projects should we feature?
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