Applied ML & Evaluation
Metrics and calibration, data leakage, interpretability, and monitoring models in production.
0 / 28 solved
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Metrics & Calibration
Precision/recall/F1, ROC vs PR curves, probability calibration, and nested cross-validation.
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Data Leakage & Preprocessing
How leakage sneaks in, feature-selection and target-encoding pitfalls, SMOTE, and covariate-shift correction.
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Interpretability
Counterfactual explanations, permutation importance and its traps, SHAP values.
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Production Monitoring
What to watch after deployment, detecting covariate shift, and retraining triggers.
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28 of 28 questions here are still unsolved.