Properly preparing categorical data is a fundamental step in machine learning, especially when using linear models. One Hot Encoding stands out as an important technique, which enables 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 of One Hot Encoding in (…)

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