Label Encoding | Categorical Data | Nominal Data | Feature Engineering | Machine Learning Part 12

Опубликовано: 15 Март 2026
на канале: Ligane

In machine learning, we usually deal with datasets which contains multiple labels. These labels can be in the form of words or numbers. To make the data understandable or in human readable form, the training data is often labeled in words.

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Label Encoding refers to converting the labels into numeric form so as to convert it into the machine-readable form. Machine learning algorithms can then decide in a better way on how those labels must be operated.