Python for Data Science
Autor Ted Wolfen Limba Engleză Paperback – 6 oct 2020
Python is often used indata sciencetoday because it is a mature programming language that has excellent properties for beginning programmers. Some of the most notable of these properties are the easy-to-read password, suppression of optional delimiters, dynamic writing, and the use of dynamic memory.
Data science usesscience strategiesto process data and separate information from it. It moves away from an idea similar toBig DataandData Mining. It requires innovative equipment along with useful calculation and programming to deal with data problems or process data to gain substantial learning from them.
The improvement and highly useful research in the world ofComputing and Technologyhave increased the importance of its most basic and essential concepts in a thousand aspects. The world's largest organizations and companies have built their creation and their philosophies and determine a unique portion of their pay through data. The value and importance of data can be understood with the simple certainty that a legitimate data storage/distribution center is a million times more profitable than the pure gold mine in the advanced world.
However, learning all the required skills to master data science and machine learning could certainly be challenging.
BUT DON'T WORRY: In this complete Guide we have condensed all the knowledge you need in a simple and practical way. Through his revolutionary and systematic approach,you will skyrocket your skills, regardless of your previous experience, with the best techniques to manipulate and process datasets, learn in deep the principles of Python programming, and their real-world applications.
In this book you are ready to discover:
- How to move your first steps in the world of "Python". I will explain you, with easy to follow visuals, how to exactly install Python on the Mac OS X, Windows and Linux systems.
- How to easily setting up your first Data Science project from scratch with Python in less than 7 days.
- Practical codes and exercises to use Python. I will explain you the step-by-step process to create games like: "magic 8 ball" and "hangman game".
- How works theregression algorithmsused in data science and what are the best tips and tricks to work with them.
- HowScikit-Learn libraryis used in the development of a machine learning algorithm.
- And much more
Even if you're still a beginner struggling on how to start projects with Python, this book will surely give you the right information to skyrocket your programming skills to the next level.
Keep in mind: "Real progress happens only when advantages of a new technology become available to everybody" (H. Ford).
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Paperback (2) | 108.54 lei 38-44 zile | |
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Hardback (2) | 146.04 lei 38-44 zile | |
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Specificații
ISBN-13: 9781801090346
ISBN-10: 1801090343
Pagini: 130
Dimensiuni: 152 x 229 x 7 mm
Greutate: 0.18 kg
Editura: Charlie Creative Lab
ISBN-10: 1801090343
Pagini: 130
Dimensiuni: 152 x 229 x 7 mm
Greutate: 0.18 kg
Editura: Charlie Creative Lab