Learn Python 3, machine learning, and data visualization with ChatGPT/GPT-4. Enhance your data science skills with practical tutorials and real-world applications.

Key Features

Comprehensive coverage of Python libraries

Practical applications with real data

Companion files with source code and datasets available

Book Description

This book bridges the gap between theoretical knowledge and practical application in Python programming, machine learning, and using ChatGPT-4 in data science. It starts with an introduction to Pandas for data manipulation and analysis. The book then explores various machine learning classifiers, from kNN to SVMs. Later chapters cover GPT-4's capabilities, enhancing linear regression analysis, and using ChatGPT in data visualization, including AI apps, GANs, and DALL-E. The journey begins with mastering Pandas and machine learning fundamentals. It progresses to applying GPT-4 in linear regression and machine learning classifiers. The final chapters focus on using ChatGPT for data visualization, making complex results accessible and understandable. Understanding these concepts is crucial for modern data scientists. This book transitions readers from basic Python programming to advanced applications of ChatGPT-4 in data science. Companion files with source code, datasets, and figures enhance learning, making this an essential resource for mastering Python, machine learning, and AI-driven data visualization.

What you will learn

Master data manipulation with Pandas

Implement various Machine Learning algorithms

Utilize GPT-4 for regression analysis

Create advanced visualizations

Apply ChatGPT in data science

Understand clustering techniques

Who this book is for

This book is ideal for students, data scientists, and AI researchers who want to deepen their understanding and enhance their skills in Python programming, data visualization, and machine learning. Basic knowledge of Python and data science is recommended.