Ergonomics For People With Disabilities

Multi-Criteria Analysis for Priority-setting in Mine Action

3RD INTERNATIONAL CONFERENCE ON BIG DATA AND MACHINE LEARNING (BML'22)

IMDIS

2nd Edition of the Multidiscipinary Doctoral Days (IMDD23)

Smart Analysis of Tourism Policy Efficiency in Bulgaria for the Period 1980-2017

International Symposium on Technikpsychologie (TecPsy) 2023

Python Data Structures Pocket Primer

C Programming

Angular and Deep Learning Pocket Primer

Pandas Basics

Data Cleaning Pocket Primer

Computer Concepts and Management Information Systems

Microsoft Excel Programming Pocket Primer

Working with grep, sed, and awk Pocket Primer

C Programming Pocket Primer

AutoCAD 2016

Practical Heat Transfer

Software Testing

Data Science Tools

Python; Machine Learning; ChatGPT-4; Pandas; Classifiers; Linear Regression; Data Visualization; AI; Data Science; Programming

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.

Python 3 and Machine Learning Using ChatGPT/GPT-4

Frontmatter

{"title":{"xml:lang":"en","content":"Frontmatter"}}

Contents

{"title":{"xml:lang":"en","content":"Contents"}}

Preface

{"title":{"xml:lang":"en","content":"Preface"}}

Chapter 1: Introduction to Pandas

{"title":{"xml:lang":"en","content":"Chapter 1: Introduction to Pandas"}}

Chapter 2: Introduction to Machine Learning

Chapter 2: Introduction to Machine Learning

{"title":{"xml:lang":"en","content":"Chapter 2: Introduction to Machine Learning"}}

Chapter 3: Classifiers in Machine Learning

Chapter 3: Classifiers in Machine Learning

{"title":{"xml:lang":"en","content":"Chapter 3: Classifiers in Machine Learning"}}

Chapter 4: ChatGPT and GPT-4

{"title":{"xml:lang":"en","content":"Chapter 4: ChatGPT and GPT-4"}}

Chapter 5: Linear Regression with GPT-4

{"title":{"xml:lang":"en","content":"Chapter 5: Linear Regression with GPT-4"}}

Chapter 6: Machine Learning Classifiers with GPT-4

Chapter 6: Machine Learning Classifiers with GPT-4

{"title":{"xml:lang":"en","content":"Chapter 6: Machine Learning Classifiers with GPT-4"}}

Chapter 7: Machine Learning Clustering with GPT-4

Chapter 7: Machine Learning Clustering with GPT-4

{"title":{"xml:lang":"en","content":"Chapter 7: Machine Learning Clustering with GPT-4"}}

Chapter 8: ChatGPT and Data Visualization

Chapter 8: ChatGPT and Data Visualization

{"title":{"xml:lang":"en","content":"Chapter 8: ChatGPT and Data Visualization"}}

Index

{"title":{"xml:lang":"en","content":"Index"}}

Oswald Campesato (San Francisco, CA) 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).

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.

This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the...

MLI Generative AI Series

Title

Python 3 and Machine Learning Using ChatGPT/GPT-4

Leute lesen auch