β Scribed by Tarkeshwar Barua, Kamal Kant Hiran, Ritesh Kumar Jain, Ruchi Doshi
No coin nor oath required. For personal study only.
This book explains how to use the programming language Python to develop machine learning and deep learning tasks.
Contents
Chapter 1 Introduction to Machine Learning
Chapter 2 Basics of Python Programming
Chapter 3 Data Preprocessing in Python
Chapter 4 Foundations of Machine Learning
Chapter 5 Classic Machine Learning Algorithms
Chapter 6 Advanced Machine Learning Techniques
Chapter 7 Neural Networks and Deep Learning
Chapter 8 Specialized Applications and Case Studies
References
Index
π SIMILAR VOLUMES
Providing code examples in python, this book introduces the concepts of machine learning with mathematical explanations and programming fundamentals. --
<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
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