Soledad Galli, "Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machi"
English | ISBN: 1789806313 | 2020 | 372 pages | MOBI | 11 MB
Extract 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
Book Description
Feature engineering is invaluable for developing and enriching your machine learning models. In this cookbook, you will work with the best tools to streamline your feature engineering pipelines and techniques and simplify and improve the quality of your code.
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