Cargando…
Python feature engineering cookbook: over 70 recipes for creating, engineering, and transforming features to build machine learning models
Feature engineering is invaluable for developing and enriching your machine learning models. In this book, you will work with the best Python tools to streamline your feature engineering pipelines, feature engineering techniques and simplify and improve the quality of your code.
Autor principal: | Galli, Soledad |
---|---|
Lenguaje: | eng |
Publicado: |
Packt Publishing, Limited
2020
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2716635 |
Ejemplares similares
-
Modern Python standard library cookbook: over 100 recipes to fully leverage the features of the standard library in Python
por: Molina, Alessandro
Publicado: (2018) -
Python parallel programming cookbook: over 70 recipes to solve challenges in multithreading and distributed system with Python 3
por: Zaccone, Giancarlo
Publicado: (2019) -
TensorFlow machine learning cookbook: over 60 recipes to build intelligent machine learning systems with the power of Python
por: McClure, Nick
Publicado: (2018) -
Scikit-learn cookbook: over 80 recipes for machine learning in Python with scikit-learn
por: Avila, Julian, et al.
Publicado: (2017) -
Python GUI programming cookbook: over 80 object-oriented recipes to help you create mind-blowing GUIs in Python
por: Meier, Burkhard
Publicado: (2015)