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One-Hot Encoding operates by creating a new binary column (often called a dummy variable) for each unique category present in the original feature. For a given data point, the column corresponding to its specific category is assigned a value of

: A vital data preprocessing technique in data science. It transforms categorical variables into a binary matrix format, allowing machine learning algorithms to interpret categorical data without assuming an unintended numerical order. The Biological Foundation: Understanding Yamanaka Factors imog036 yamanaka 1 hot

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