In the context of machine learning and data processing, an encoder transforms categorical or textual data into a numerical format that can be easily understood by algorithms. This process allows models to learn patterns and relationships in the data. Encoders can take various forms, such as one-hot encoding or label encoding, depending on the specific needs of the data and the model. By converting data into a suitable format, encoders help improve the model's performance and accuracy.
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