Name: Python 3 and Feature Engineering (en Inglés)
Price: 154.91 PEN
Availability: InStock
Author: Campesato, Oswald
ISBN: 9781683929499

portada Python 3 and Feature Engineering (en Inglés)

Python 3 and Feature Engineering (en Inglés)

Formato

Libro Físico

Autor

Oswald Campesato

Editorial

Mercury Learning and Information

Idioma

Inglés

N° páginas

216

Encuadernación

Tapa Blanda

Peso

0.43 kg.

ISBN13

9781683929499

Categorías

Hojas de cálculo
Desarrollo y programación de juegos
Seguridad informática

Python 3 and Feature Engineering (en Inglés)

Oswald Campesato (Autor) · Mercury Learning and Information · Tapa Blanda

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Reseña del libro "Python 3 and Feature Engineering (en Inglés)"

This book is designed for data scientists, machine learning practitioners, and anyone with a foundational understanding of Python 3.x. In the evolving field of data science, the ability to manipulate and understand datasets is crucial. The book offers content for mastering these skills using Python 3. The book provides a fast-paced introduction to a wealth of feature engineering concepts, equipping readers with the knowledge needed to transform raw data into meaningful information. Inside, you'll find a detailed exploration of various types of data, methodologies for outlier detection using Scikit-Learn, strategies for robust data cleaning, and the intricacies of data wrangling. The book further explores feature selection, detailing methods for handling imbalanced datasets, and gives a practical overview of feature engineering, including scaling and extraction techniques necessary for different machine learning algorithms. It concludes with a treatment of dimensionality reduction, where you'll navigate through complex concepts like PCA and various reduction techniques, with an emphasis on the powerful Scikit-Learn framework. FEATURESIncludes numerous practical examples and partial code blocks that illuminate the path from theory to applicationExplores everything from data cleaning to the subtleties of feature selection and extraction, covering a wide spectrum of feature engineering topicsOffers an appendix on working with the "awk" command-line utilityFeatures companion files available for downloading with source code, datasets, and figures