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Více informací o knize Python 3 and Feature Engineering

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Plný název: Python 3 and Feature Engineering
• Autor: Oswald Campesato
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 216
• EAN: 9781683929499
• ISBN: 1683929497
• ID: 44632653
• Nakladatelství: MERCURY LEARNING & INFORMATION
• Hmotnost: 426 g
• Datum vydání: 13. December 2023

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