Supervised Learning Skills Tests

Supervised Learning — Beginner

Foundations of supervised machine learning: labeled data, classification vs regression, training and prediction, common losses, overfitting, and basic model families. Mix of single-answer and multiple-answer items; multi-select questions ask you to select every correct statement.

Supervised Learning — Intermediate

Intermediate supervised ML: regularization, class imbalance, decision boundaries, logistic and softmax outputs, feature scaling, encoding categoricals, tree-based learners, and training pitfalls. Mix of single-answer and multiple-answer items; multi-select questions ask you to select every correct statement.

Supervised Learning — Advanced

Advanced supervised ML: calibration, class hierarchies, multi-label vs multiclass, sample weights, label smoothing, distillation, ordinal and cost-sensitive learning, kernel methods, and production pitfalls. Mix of single-answer and multiple-answer items; multi-select questions ask you to select every correct statement.