I currently lead a small data team at a small tech company. With every thing small, we've got a variety of autonomy over what, when, and the way we run experiments. On this series,...
Now that we understand the underlying calculations of SHAP, we are able to apply it to our predictions by visualizing them. To visualise them, we'll use from Python’s library and input our...
A comprehensive (and colourful) guide to all the pieces you'll want to learn about evaluating classification modelsI spotted through my learning journey that I’m an incredibly visual learner and I appreciate using color and...