[[{“value”:”
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.
“}]] [[{“value”:”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.”}]] Read More Data Science