Feature Engineering Assessment
Online assessment to evaluate proficient-level data preprocessing and feature transformation skills
This intermediate-level assessment measures a candidate’s ability to prepare, transform, and enhance features for machine learning models. It covers key topics including encoding, scaling, feature creation, handling high cardinality, and validation strategies. Candidates demonstrate their understanding of techniques like one-hot and target encoding, binning, and interaction features. Ideal for data scientists and ML practitioners, this assessment identifies individuals capable of improving model performance through effective feature design. Automated scoring and detailed analytics help recruiters shortlist candidates with strong practical data-preparation expertise.
