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Capture sequences of words (bigrams or trigrams) to maintain context.

Pass images through a pre-trained model (like ResNet) to get high-level feature vectors. 75bdb.7z

If you can describe the contents or provide a few rows of data, I can give you a specific feature engineering plan. In the meantime, here are common feature generation strategies based on the likely type of data: 1. If it contains Tabular Data (CSV/Excel) Capture sequences of words (bigrams or trigrams) to

Create new features by multiplying or dividing existing numerical columns (e.g., Price * Quantity ). Polynomial Features: Generate x2x squared for non-linear relationships. 75bdb.7z