Python 3 and Machine Leaing Using ChatGPT / GPT-4 (MLI Generative AI Series)

by: Oswald Campesato (Author)

Publisher: Mercury Leaing and Information
Edition: First Edition

Publication Date: May 20, 2024

Language: English

Print Length: 268 pages

ISBN-10: 1501522957

ISBN-13: 9781501522956

Book Description

This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine leaing, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a coerstone Python library for data manipulation and analysis. Next, it explores a variety of machine leaing classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in datavisualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text.FEATURES: Includes practical tutorials designed to provide hands-on experience, reinforcing leaing through practiceProvides coverage of the latest Python tools using state-of-the-art libraries essential for mode data scientistsCompanion files with source code, datasets, and figures are available for downloading
About the Author
This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine leaing, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a coerstone Python library for data manipulation and analysis. Next, it explores a variety of machine leaing classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in datavisualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text.FEATURES: Includes practical tutorials designed to provide hands-on experience, reinforcing leaing through practiceProvides coverage of the latest Python tools using state-of-the-art libraries essential for mode data scientistsCompanion files with source code, datasets, and figures are available for downloading Read more