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Machine Learning with Python

You're reading from Machine Learning with Python

Product type Book

Published in Mar 2024

Publisher Packt

ISBN-13 9781835461969

Pages 146 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Oliver Theobald

Table of Contents (18) Chapters

FOREWORD

DATASETS USED IN THIS BOOK

INTRODUCTION

DEVELOPMENT ENVIRONMENT

MACHINE LEARNING LIBRARIES

EXPLORATORY DATA ANALYSIS

DATA SCRUBBING

PRE-MODEL ALGORITHMS

SPLIT VALIDATION

MODEL DESIGN

LINEAR REGRESSION

LOGISTIC REGRESSION

SUPPORT VECTOR MACHINES

k-NEAREST NEIGHBORS

TREE-BASED METHODS

NEXT STEPS

APPENDIX 1: INTRODUCTION TO PYTHON

APPENDIX 2: PRINT COLUMNS

DEVELOPMENT ENVIRONMENT

As the practical exercises delivered in this book use Jupyter Notebook as the development environment for Python 3, this chapter serves as an optional guide for installing Jupyter Notebook. If you have prior experience using Jupyter Notebook or have read my earlier title Machine Learning for Absolute Beginners, then you may wish to proceed to the next chapter.

Jupyter Notebook is a popular choice for practitioners and online courses alike, as it combines live code, explanatory notes, and visualizations into one convenient workspace and runs from any web browser.

Jupyter Notebook can be installed using the Anaconda Distribution or Python’s package manager, pip. As an experienced Python user, you may wish to install Jupyter Notebook via pip, and there are instructions available on the Jupyter Notebook website (http://jupyter.org/install.html) outlining this option. For beginners, I recommend choosing the Anaconda Distribution option...

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Machine Learning with Python

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Authors (1)

Oliver Theobald

Oliver Theobald, a technical writer and best-selling author, excels in AI, fintech, and cloud computing. With global experience, he now resides between China and Japan, deepening his expertise in technology. As an instructor, Oliver emphasizes clarity and engagement, stripping away jargon to make complex topics accessible. His courses aim to empower both beginners and professionals with practical skills for success in the tech industry, making learning both effective and enjoyable.

See other products by Oliver Theobald

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