Data Glossary Lab

Standardization is a fundamental data preprocessing technique used in statistics and machine learning to transform numerical features so that they possess a mathematically defined, centralized scale.

A Support Vector Machine, is a supervised machine learning algorithm used primarily for classification tasks, although it can also be adapted to handle regression problems

SHAP (SHapley Additive exPlanations) is a mathematical framework used to explain the output of any machine learning model.

Stemming is the linguistic "pruning" process used in information retrieval and natural language processing to reduce words to their base or root form.