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Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Python Feature Engineering Cookbook

<span xml:lang="en">Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models</span>

Galli, Soledad

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn librariesKey FeaturesDiscover solutions for feature generation, feature extraction, and feature selectionUncover the end-to-end feature engineering process across continuous, discrete, and unstructured datasetsImplement modern feature extraction techniques using Python's pandas, scikit-learn, SciPy and NumPy librariesBook DescriptionFeature engineering is invaluable for developing and enriching your machine learning models.

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and...

Format

Python Feature Engineering Cookbook

Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Soledad Galli

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