Beginner · Data
Bucketing
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Converting a continuous feature into discrete categories or 'bins' based on value ranges.
Technical Definition
Converting a continuous feature into discrete categories or 'bins' based on value ranges.
How it works
Bucketing, also known as binning, is a data preprocessing technique that transforms continuous numerical features into discrete categories. For example, age could be grouped into bins like 'child', 'teenager', 'adult', and 'senior', simplifying the data for certain models.
Related Concepts
- Feature Engineering — The process of creating, selecting, and transforming input variables to improve a machine learning model's performance.
- Data Preprocessing — Transforming raw data into a format suitable for model training.