Why must 'inf' values be explicitly handled before XGBoost training?

Question

MLQuiz · Accepted Answer

Encountered: `XGBoostError: Input data contains inf`. Caused by division by zero (e.g., volume pct_change when previous volume = 0). Fix: replace [inf, -inf] with NaN, then fillna(0) or median.