In the previous blog post, I discussed different types of feature selection methods and I focussed on mutual information based methods. I’ve since done a broader talk on feature selection at PyData London. In the talk, I discussed an example of an embedded feature selection method called stability selection, a method that tends to work well in high-dimensional, sparse, problems.
