AI Publishing - Data Science Crash Course for Beginners: Fundamentals and Practices with Python

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To get the Python codes and materials used in this book, please click the link below: https://www.aispublishing.net/book-data-science-01 The order number is required. About the Publisher At AI Publishing Company, we have established an international learning platform specifically for young students, beginners, small enterprises, startups, and managers who are new to data science and artificial intelligence. Through our interactive, coherent, and practical books and courses, we help beginners learn skills that are crucial to developing AI and data science projects. Our courses and books range from basic introduction courses to language programming and data science to advanced courses for machine learning, deep learning, computer vision, big data, and much more. The programming languages used include Python, R, and some data science and AI software. AI Publishings core focus is to enable our learners to create and try proactive solutions for digital problems by leveraging the power of AI and data science to the maximum extent.

Moreover, we offer specialized assistance in the form of our free online content and eBooks, providing up-to-date and useful insight into AI practices and data science subjects, along with eliminating the doubts and misconceptions about AI and programming. Our experts have cautiously developed our online courses and kept them concise, short, and comprehensive so that you can understand everything clearly and effectively and start practicing the applications right away. We also offer consultancy and corporate training in AI and data science for enterprises so that their staff can navigate through the workflow efficiently. With AI Publishing, you can always stay closer to the innovative world of AI and data science. If you are eager to learn the A to Z of AI and data science but have no clue where to start, AI Publishing is the finest place to go. AI Publishing is Looking for Authors Like You Interested in becoming an author for AI Publishing? Please contact us at . AI Publishing is Looking for Authors Like You Interested in becoming an author for AI Publishing? Please contact us at .

We are working with developers and AI tech professionals just like you, to help them share their insights with the global AI and Data Science lovers. You can share all your knowledge about hot topics in AI and Data Science. Table of ContentsPreface

This book explains different data science fundamentals and applications using various data science libraries for Python. The book is aimed ideally at absolute beginners in Data Science and Machine Learning. Though a background in the Python programming language and data science can help speed up learning, the book contains a crash course on Python programming language in one chapter. Therefore, the only prerequisite to efficiently using this book is access to a computer with the internet.

All the codes and datasets have been provided. However, to download data preparation libraries, you will need the internet.

To get the best out of this book, I would suggest that you first get your feet wet with the Python programming language, especially the object-oriented programming concepts. To do so, you can take the crash course on Python in chapters 2 and 3 of this book. Also, try to read the chapters of this book in order since the concepts taught in subsequent chapters are based on previous chapters. In each chapter, try to first understand the theoretical concepts behind different types of data science techniques and then try to execute the example code.

I would again stress that rather than copying and pasting code, try to write code yourself, and in case of any error, you can match your code with the source code provided in the book as well as in the Python notebooks in the resources. Finally, try to answer the questions asked in the exercises at the end of each chapter. The solutions to the exercises have been given at the end of the Book. About the Author M. Wasim Nawaz has a Ph.D. in Computer Engineering from the University of Wollongong, Australia.

His main areas of research are Machine Learning, Data Science, Computer Vision, and Image Processing. Wasim has over eight years of teaching experience in Computer and Electrical Engineering. He has worked with both private and public sector organizations. Get in Touch With Us Feedback from our readers is always welcome. For general feedback, please send us an email at and mention the book title in the subject line. Although we have taken extraordinary care to ensure the accuracy of our content, errors do occur.

If you have found an error in this book, we would be grateful if you could report this to us as soon as you can. If you are interested in becoming an AI Publishing author and if you have expertise in a topic and you are interested in either writing or contributing to a book, please send us an email at . Download the Color Images We request you to download the PDF file containing the color images of the screenshots/diagrams used in this book here: https://www.aispublishing.net/book-data-science-01 The order number is required. Introduction to Data Science and Decision Making This chapter provides a high-level introduction to natural language processing. The chapter explains natural language processing in great detail, some of the most common applications of natural language processing, and the basic approaches used for developing natural language processing applications.

We are living in the age of data. Not only the amount of data we currently have is gigantic, but the pace of the data generation is also accelerating day by day. There are more than 4.5 billion active internet users at the time of writing this book, July 2020, which comprises about 60 percent of the global population. These internet users create large volumes of data by using social media such as Facebook, Twitter, Instagram, and Youtube. The amount of mobile data is also blowing up. Furthermore, real-time data being produced by the Internet of Things (IoT) devices is seeing an unprecedented rate of growth.Next page