Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models loose_leaf B0B8VLH1CS

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in Sociology from the University of Tennessee and is an esteemed alumna of the Business Action Network (LBAN)'s Business Scaling program at Stanford University Graduate School of Business

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Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models loose_leaf B0B8VLH1CSExtract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit learn libraries Key Features Discover solutions for feature generation, feature extraction, and feature selection Uncover the end to end feature engineering process across continuous, discrete, and unstructured datasets Implement modern feature extraction techniques using Python's pandas, scikit learn, SciPy and NumPy libraries