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Discuss categorical vs. numerical features, embeddings, and how to handle missing values.

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Apply to skewed data (like "Price") to create a more normal distribution. 3. Feature Generation (Extraction) Textual: Use TF-IDF or pre-trained BERT embeddings. Discuss categorical vs. numerical features

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