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How can you handle categorical data in machine learning models?

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Python Expert | Django | Machine Learning | Deep Learning | Data Science

To handle categorical data in machine learning, you can use techniques like one-hot encoding, where each category becomes a binary feature, or label encoding, which assigns a unique number to each category. These transformations allow machine learning models to work with categorical data effectively.
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