Causal Brews: Why Your Feature Engineering Needs a Graph Before a Grid Search
Feature engineering has always had a faint smell of kitchen experimentation. Take the raw variables. Add ratios. Try logs. Multiply this by that. Remove the ones that look useless. Feed everything into XGBoost. Pretend the process was scientific because the final notebook has a clean cross-validation table. In many business analytics teams, this is not a caricature. It is Tuesday. ...