Recently, I stumbled upon an online book which describes different tools that can be used for machine learning model interpretability (https://christophm.github.io/interpretable-ml-book/). The idea that machine learning models should not be a black box and can be explained fascinated me, and I decided to dive deep into this topic. Previously, when I would start working on a new machine learning project, I would follow the same procedure: identifying the problem, getting…