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Python 3 and Machine Learning Using ChatGPT / GPT-4
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PDF 21.8 MB Personal license
268 pages

Machine Learning & AI

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Python 3 and Machine Learning Using ChatGPT / GPT-4

Learn Python data analysis, machine learning classifiers, GPT-4-assisted regression, and AI-powered data visualization through practical tutorials and companion code, datasets, and figures.

Python 3 and Machine Learning Using ChatGPT / GPT-4 bridges the gap between theoretical knowledge and practical application in Python programming, machine learning, and the use of GPT-4 in data science.


The book begins with a detailed introduction to Pandas, a core Python library for data manipulation and analysis. It then explores machine learning classifiers ranging from k-nearest neighbors (kNN) to support vector machines (SVMs).


Later chapters examine GPT-4’s capabilities and show how AI can enhance traditional linear regression analysis. The book also covers using ChatGPT for data visualization, demonstrating how AI can transform data into clear and compelling visual stories. Additional material introduces AI applications, generative adversarial networks (GANs), and DALL-E.


Key benefits


• Practical tutorials that reinforce learning through hands-on experience

• Coverage of modern Python tools and data-science libraries

• Companion source code, datasets, and figures

• A combined focus on Python, classical machine learning, GPT-4, and visualization


Product details


Author: Oswald Campesato

Publisher: Mercury Learning and Information

Edition: First Edition

Release date: May 20, 2024

Language: English

Format: True PDF

Detailed product information length: 268 pages

ISBN-10: 1501522957

ISBN-13: 978-1501522956

Python 3 and Machine Learning Using ChatGPT / GPT-4

Python 3 and Machine Learning Using ChatGPT / GPT-4 bridges the gap between theoretical knowledge and practical application in Python programming, machine learning, and the use of GPT-4 in data science.


The book begins with a detailed introduction to Pandas, a core Python library for data manipulation and analysis. It then explores machine learning classifiers ranging from k-nearest neighbors (kNN) to support vector machines (SVMs).


Later chapters examine GPT-4’s capabilities and show how AI can enhance traditional linear regression analysis. The book also covers using ChatGPT for data visualization, demonstrating how AI can transform data into clear and compelling visual stories. Additional material introduces AI applications, generative adversarial networks (GANs), and DALL-E.


Key benefits


• Practical tutorials that reinforce learning through hands-on experience

• Coverage of modern Python tools and data-science libraries

• Companion source code, datasets, and figures

• A combined focus on Python, classical machine learning, GPT-4, and visualization


Product details


Author: Oswald Campesato

Publisher: Mercury Learning and Information

Edition: First Edition

Release date: May 20, 2024

Language: English

Format: True PDF

Detailed product information length: 268 pages

ISBN-10: 1501522957

ISBN-13: 978-1501522956
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Check that this fits your workflow.

Best forPython learners, aspiring data scientists, machine learning students, developers, analysts, and professionals who want practical experience using ChatGPT and GPT-4 in data science workflows.
Skill levelIntermediate
CompatibilityTrue PDF for compatible PDF reading apps and devices. Companion materials use Python 3 and modern data-science libraries.
RequirementsA PDF-compatible reading app or device. Basic Python knowledge is recommended. Python 3 and the relevant libraries are needed to run the companion code; access to ChatGPT or GPT-4 is needed for AI-assisted exercises.
Book length268 pages
Version and update dateVersion 1st Edition (2024)

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License

Personal use for one buyer. Resale, redistribution, and sharing the source files are not permitted.

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Support covers file access and documented setup. Custom project work and software training are not included unless stated above.

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No future updates are promised. You receive the version described on this page.

FAQ

Common questions

Who is the author?

Oswald Campesato.

Who is the publisher?

Mercury Learning and Information.

Which edition is included?

The first edition, released in 2024.

What format is included?

True PDF.

How many pages are listed?

The detailed product information lists 268 pages.

What topics are covered?

Pandas, machine learning classifiers, GPT-4-assisted regression, ChatGPT data visualization, AI apps, GANs, and DALL-E.

Are companion files available?

Yes. Companion source code, datasets, and figures are available for downloading.

What prior knowledge is recommended?

Basic Python knowledge is recommended for the practical examples.

Inside the product

Everything you need.
Nothing you don’t.

Learn Python data analysis, machine learning classifiers, GPT-4-assisted regression, and AI-powered data visualization through practical tutorials and companion code, datasets, and figures.

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