Khan, Arshad

Business Intelligence and Data Analysis in the Age of AI

Campesato, Oswald

Beginning Python 3 with Claude 3

A Prompt-based Exploration of LLMs

Large Language Models for Developers

Fortino, Andres

Case Studies in Excel, R, and ChatGPT

Data Analysis for Business Decisions

Zherlitsyn, Dmytro

Financial Data Analysis Using Python

Beginning Python 3 with Grok 2

Herman, Erik

Using Analytics and Case Studies

Data Science for Decision Makers

Goralski, Walter

Understanding AI, IoT, 6G and The Infrastructure Revolution

Erik, Herman L.

Theory, Applications and Ethics

AI Revealed

CAMPESATO, OSWALD

CSS3 and SVG with Meta AI

MLI Generative AI Series

Python 3 and Machine Learning Using ChatGPT/GPT-4

Contents

Frontmatter

Preface

Chapter 1: Introduction to Pandas

Chapter 2: Introduction to Machine Learning

Chapter 3: Classifiers in Machine Learning

Chapter 4: ChatGPT and GPT-4

Chapter 5: Linear Regression with GPT-4

Chapter 6: Machine Learning Classifiers with GPT-4

Chapter 7: Machine Learning Clustering with GPT-4

Chapter 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.

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

Contents - Contents

Format

Contents

Oswald Campesato

Oswald Campesato

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