<span>Develop and Implement your own Machine Learning Models to solve real-world problemsKey Featuresβ’ Introduction to Machine Learning, Python and Jupyterβ’ Learn about Feature Engineering and Data Visualization using real-world data setsβ’ Learn various regression and classification techniquesβ’ Deep
Machine Learning with Python
β Scribed by Abhishek Vijayvargia
- Publisher
- BPB Publications
- Year
- 2018
- Tongue
- English
- Leaves
- 269
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Providing code examples in python, this book introduces the concepts of machine learning with mathematical explanations and programming fundamentals. --
β¦ Table of Contents
Cover
Title page
Copyright
Preface
Contents
Back Cover
π SIMILAR VOLUMES
<p><span>This book explains how to use the programming language Python to develop machine learning and deep learning tasks.</span></p>
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learnin