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.

 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
• Features material on AI apps, GANs, and DALL-E
• Companion files with source code, datasets, and figures (available for downloading with Amazon proof of purchase by writing to the publisher at info@merclearning.com)