Capability of addressing feature engineering tasks Knowledge of the main supervised learning problems (classification,regression) Understanding of the inner workings of classification algorithms (nn, logreg, decision trees, etc.) Understanding of model scoring and comparison metrics Capability of recognizing underfitting and overfitting symptoms and of properly addressing it Capability of selecting and using classification and regression models to solve practical problems and properly interpreting their results