Why Automated Feature Engineering Will Change the Way You Do Machine Learning

There are few certainties in data science -- libraries, tools, and algorithms constantly change as better methods are developed. However, one trend that is not going away is the move towards increased levels of automation. Recent years have seen progress in automating model selection and hyperparameter tuning, but the most important aspect of the machine learning pipeline, feature engineering, has largely been neglected. The most capable entry in this critical field is Featuretools, an open-source Python library. In this article, we'll use this library to see how automated feature engineering will change the way you do machine learning for the better.