Preparing categorical data correctly is a fundamental step in machine learning, particularly when using linear models. One Hot Encoding stands out as a key technique, enabling the transformation of categorical variables into a machine-understandable format. This post tells you why you cannot use a categorical variable directly and demonstrates the use One Hot Encoding in […]
The post One Hot Encoding: Understanding the “Hot” in Data appeared first on MachineLearningMastery.com.
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