Author : Oswald Campesato
Publisher : Stylus Publishing, LLC
ISBN 13 : 1683929470
Total Pages : 257 pages
Book Rating : 4.6/5 (839 download)
Book Synopsis Python 3 and Feature Engineering by : Oswald Campesato
Download or read book Python 3 and Feature Engineering written by Oswald Campesato and published by Stylus Publishing, LLC. This book was released on 2023-12-12 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. FEATURES Includes numerous practical examples and partial code blocks that illuminate the path from theory to application Explores everything from data cleaning to the subtleties of feature selection and extraction, covering a wide spectrum of feature engineering topics Offers an appendix on working with the “awk” command-line utility Features companion files available for downloading with source code, datasets, and figures