How ML Feature Importance Explains Decisions
6:08
YouTubeProfessor Py: AI Foundations
How ML Feature Importance Explains Decisions
Compute feature importance in Python to explain model predictions, surface which inputs drive decisions, and catch data leaks early. Hands-on outcome: rank features by coefficients and correlation, compare unregularized vs L2-regularized signals, and decompose a single prediction into per-feature contributions. No heavy math — an intuition ...
1 个月前
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