Python 3 and Feature Engineering - Brossura

Campesato, Oswald

Brossura

ISBN 10: 1683929497 ISBN 13: 9781683929499

Casa editrice: Mercury Learning & Information, 2023

Riassunto

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.

Su questo libro

Informazioni sull?autore

Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over thirty-five books including Python 3 Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).

Dettagli dell?edizione

• Editore: Mercury Learning & Information
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1683929497
• ISBN 13: 9781683929499
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 216
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile