Realistic AI engineering scenarios with reference solutions and problem-specific grading rubrics.
Model evaluation · Multiclass metrics · Precision/recall · F1
Model evaluation · Precision/recall · Confusion matrix · NumPy
Bootstrap · Confidence intervals · Resampling · Statistics
Pipelines · Data leakage · Cross-validation · Preprocessing
Data leakage · Cross-validation · Grouped data · Evaluation
Calibration · Model evaluation · Probability · Binning
k-NN · Distance metrics · Tie-breaking · Vectorization
Feature importance · Permutation testing · Reproducibility · Model evaluation
Imbalanced data · Model evaluation · Precision/recall · Thresholding
Decision trees · Gini impurity · Vectorization · Cumulative counts
Drift detection · Monitoring · Quantile binning · Model maintenance
Clustering · k-means · Convergence · Vectorization