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Bigrams: Capturing Local Context and Word Pairs - Text Feature Engineering: N-grams | OneNoughtOne

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Machine Learning0/328 completed

1.Unigrams: The Foundation of Text Feature Engineering 2.Bigrams: Capturing Local Context and Word Pairs 3.N-grams: The General Framework for Sequential Text Features 4.Character N-grams: Sub-Word Patterns for Robust Text Features 5.N-gram Tradeoffs: A Decision Framework for Text Feature Engineering

Data Normalization Techniques: Z-Score and Min-Max Scaling
Categorical Binary Encoding
Ordered Polynomial Feature Generator

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Bigrams: Capturing Local Context and Word Pairs

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