https://www.shermstats.com/tags/feature-engineering/ Recent content in Feature Engineering on Shermstats Hugo -- gohugo.io en-us Sun, 03 Feb 2019 00:00:00 +0000 https://www.shermstats.com/2019/02/03/feature-selection-with-boruta-part-1/ Sun, 03 Feb 2019 00:00:00 +0000 https://www.shermstats.com/2019/02/03/feature-selection-with-boruta-part-1/ Introduction Issues with Feature Selection For the next two posts, I will be exploring the usefulness of the Boruta feature selection algorithm. It is a heuristic algorithm that seeks to find all relevant features, rather than just rank model features in terms of importance. This is useful for two reasons: It is rarely the case that some magic number of features predicts the output of interest. Feature importances are relative, meaning that even the top four features may not actually be useful in practice. https://www.shermstats.com/2018/10/21/all-the-things-you-can-do-with-coordinates/ Sun, 21 Oct 2018 00:00:00 +0000 https://www.shermstats.com/2018/10/21/all-the-things-you-can-do-with-coordinates/ You’re looking at a new dataset, and notice that observations have latitude and longitude coordinates. “I can plot these, but what else can I do?”, you think to yourself. Well fear not! The sheer amount of free information you can get with nothing but a latitude and longitude coordinate is astonishing. This is possible due to reverse geocoding, which is the process of converting latitude and longitude coordinates to another geographic unit.