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Case Studies in Excel, R, and ChatGPT

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Chapter 2: Introduction to Machine Learning

Frontmatter

Contents

Preface

Chapter 1: Introduction to Pandas

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...

Chapter 2: Introduction to Machine Learning - Chapter 2:...

Chapter 2: Introduction to Machine Learning

Format

Chapter 2: Introduction to Machine Learning

Oswald Campesato

Oswald Campesato

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