Python Machine Learning A Beginner's Guide to Scikit-Learn: A Hands-On ApproachКНИГИ » ПРОГРАММИНГ
Название: Python Machine Learning A Beginner's Guide to Scikit-Learn: A Hands-On Approach Автор: Rajender Kumar Издательство: Jamba Academy Год: 2023 Страниц: 623 Язык: английский Формат: epub (true) Размер: 10.1 MB
Are you ready to dive into the world of Python Machine Learning?
Look no further! "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is the perfect guide for you. Written by experienced data scientist, Rajender Kumar, this book takes you on a journey through the basics of Machine Learning and the powerful Scikit-learn library.
Key Features:
- Detailed introduction to the fundamentals of Machine Learning and the Scikit-Learn library. - Comprehensive coverage of essential concepts such as data preprocessing, model selection, evaluation, and optimization. - Hands-on experience with real-world datasets and practical projects that will help you develop the skills you need to succeed in machine learning. - Easy-to-follow explanations and step-by-step examples that make it easy for beginners to get started and advanced users to take their skills to the next level.
See how Machine Learning is being used to solve problems in industries such as healthcare, finance and more.
The book "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is a comprehensive guide for Machine Learning and Deep Learning concepts using Python. It covers various Machine Learning algorithms and Leep Learning architectures along with hands-on examples to get a better understanding of the concepts.
This book is perfect for beginners who are new to Machine Learning and want to learn Scikit-Learn from scratch. It is also ideal for intermediate and advanced users who want to expand their knowledge and build more complex models.
The code provided on the Github repository can be downloaded and used freely by readers. The notebooks are organized according to the chapters in the book, making it easier for readers to find the relevant code for each concept.
As a data science and machine learning enthusiast, I believe that Python is one of the best programming languages for machine learning, and Scikit-Learn is one of the most powerful and user-friendly libraries for building machine learning applications. I have written this book with the goal of providing a clear and concise introduction to the fundamentals of machine learning using Python and Scikit-Learn. Whether you are a complete beginner to machine learning or an experienced practitioner looking to learn more about using Python and Scikit-Learn, this book has something to offer you. My hope is that by the end of this book, you will have a solid foundation in the fundamentals of machine learning, as well as the skills and knowledge to start building your own intelligent applications.
What are the requirements? (Pre-requisites): "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is designed for individuals who have a basic understanding of Python programming and are interested in learning about machine learning. The book is ideal for students, developers, and data scientists who want to learn about machine learning in an easy-to-understand and practical way.
The following are the pre-requisites for this book: • Basic understanding of Python programming. • Familiarity with basic mathematical concepts such as probability and statistics is helpful but not required. • Basic understanding of computer science concepts such as algorithms and data structures is helpful but not required. • Basic understanding of machine learning concepts is helpful but not required. • Access to a computer with Python and the scikit-learn library installed.
It is recommended that readers have some experience with Python and some understanding of statistics, but no prior experience with Machine Learning is required. The book will provide a comprehensive introduction to the Scikit-learn library and the concepts of Machine Learning, and will guide readers through the process of building, training, and evaluating Machine Learning models.
Who this book is for? "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is intended for a wide range of readers, including:
Individuals who are new to the field of machine learning and want to gain a solid understanding of the basics and how to apply them using the popular scikit-learn library in Python.
Data scientists, statisticians, and analysts who are familiar with machine learning concepts but want to learn how to implement them using Python and scikit-learn.
Developers and engineers who want to add machine learning to their skill set and build intelligent applications using Python.
Students and researchers who are studying machine learning and want to learn how to apply it using a widely used and accessible library like scikit-learn.
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Scikit-learn in Details: Deep understanding Название: Scikit-learn in Details: Deep understanding Автор: Robert Collins Издательство: Amazon Digital Services LLC Год: 2018 Язык:...
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Python Machine Learning A Beginner's Guide to Scikit-Learn: A Hands-On Approach 
