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feature-engineering

Feature engineering techniques for transforming data

ProgrammingFeature Engineering for Array-Valued Features in ML

Learn standard approaches for handling array-valued features in traditional ML models through feature engineering techniques like statistical extraction, dimensionality reduction, and feature hashing.

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ProgrammingTennis Score Encoding for Machine Learning Models

Learn how to convert tennis score strings like '6-4 6-2' into numerical features for Random Forest models. Step-by-step guide with code examples.

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