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This week, I crossed from complex predictive modeling into the realm of **Explainable AI (XAI)**. As ML models like RF become more complex, they turn into "black boxes." If an algorithm predicts a high school student is at a high risk of dropping out, we cannot blindly trust the output we need to know *why* to implement effective interventions

  • Updated Sep 24, 2026
  • Python

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