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Categorical variables are pivotal as they often carry essential information that influences the outcome of predictive models. However, their non-numeric nature presents unique challenges in model processing, necessitating specific strategies for encoding. This post will begin by discussing the different types of categorical data often encountered in datasets. We will explore ordinal encoding in-depth and […]
The post Decision Trees and Ordinal Encoding: A Practical Guide appeared first on MachineLearningMastery.com.
“}]] [[{“value”:”Categorical variables are pivotal as they often carry essential information that influences the outcome of predictive models. However, their non-numeric nature presents unique challenges in model processing, necessitating specific strategies for encoding. This post will begin by discussing the different types of categorical data often encountered in datasets. We will explore ordinal encoding in-depth and
The post Decision Trees and Ordinal Encoding: A Practical Guide appeared first on MachineLearningMastery.com.”}]] Read More Data Science