Can intuition beat the popular data science tools? Is SelectKBest, the popular feature selection method, wrong? Here is a story of a recent project. The story ends with a puzzle which I cannot solve. Help is welcome. Both data and
Mistaken by factor of 100,000
Longormal data is very tricky. Wrong visualization methods can lead to radical misinterpretation of the result. In this article I show an example of such a mistake based on a real project, and I demonstrate how to avoid the caveats