Python 3 and Machine Learning Using ChatGPT / GPT-4
- Publisher
Mercury Learning and Information - Published
20th May - ISBN 9781501522956
- Language English
- Pages 268 pp.
- Size 6" x 9"
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- Publisher
Mercury Learning and Information - Published
22nd May - ISBN 9781501520112
- Language English
- Pages 268 pp.
- Size 6" x 9"
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- Publisher
Mercury Learning and Information - Published
22nd May - ISBN 9781501520174
- Language English
- Pages 268 pp.
- Size 6" x 9"
This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, 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 cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning 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 data
visualization. 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 learning through practice
- Provides coverage of the latest Python tools using state-of-the-art libraries essential for modern data scientists
- Companion files with source code, datasets, and figures are available for downloading
1: Introduction to Pandas
2: Introduction to Machine Learning
3: Classifiers in Machine Learning
4: ChatGPT and GPT-4
5: GPT-4 and Linear Regression
6: Machine Learning Classifiers with GPT-4
7: Machine Learning
Clustering with GPT-4
8: ChatGPT and Data Visualization
Index
Oswald Campesato
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).