➤ How do you practically categorize data into useful groups?
Start with a clear objective and relevant features. Clean and normalize values, handle missing data, and encode categorical fields. Choose a method—rules, clustering, or supervised classification—and train or apply it. Validate with holdout data, review label quality, and iterate to refine features and group definitions for better accuracy.
Leave a Reply