encoding

Best Practices for Encoding Ordinal Variables in Sklearn

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When working with machine learning models, properly encoding categorical variables is crucial for model performance. Among categorical variables, ordinal variables present a unique challenge because they have an inherent order or hierarchy that must be preserved during encoding. This article explores the best practices for encoding ordinal variables in sklearn, providing practical guidance and examples … Read more

What Are Categorical Features in Machine Learning?

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Categorical features are a crucial aspect of machine learning, particularly when dealing with real-world datasets that often include non-numeric data. Understanding and effectively handling these features is essential for building accurate and efficient models. This article explores what categorical features are, why they are important, and various methods to encode them for use in machine … Read more