Описание: Master the world of Python, Data Analysis, Machine Learning and Data Science with this comprehensive 4-in-1 bundle.
Would you like to become a Python geek? Or do you want to learn more about the fascinating world of Machine Learning an Data Science? Well, the solution is right in front of you
With this bundle in your hands, you'll go from beginner to pro in no time. These books and guides are specifically designed for people that have little or no prior knowledge about Python Programming.
Everything inside is designed to be step-by-step, so you can have an easier time understanding the concepts around it.
This comprehensive bundle contains everything you'll need to know to successfully implement Data Science techniques and Machine Learning algorithms through Python. From basic tutorials and exercises to expert coding techniques.
In book one, PYTHON FOR BEGINNERS, you will learn:
How to install Python
What are the different Python Data Types, Variables and Basic Operators
Data Structures, Functions and Files
Conditional and Loops in Python
Object-Oriented Programming (OOP), Inheritance and Polymorphism
Essential Programming Tools and Exception Handling
And Much More
In book two, PYTHON FOR DATA ANALYSIS, you will:
Learn the Fundamentals of Data Analysis and why Businesses are Investing in this Sector
Master the 5 steps of a Proper Data Analysis
Know what are the 7 Python libraries that make Python one of the best choices for Data Analysis
Learn how Data Visualization and Matplotlib can help You to Understand the Data you are Working with
Learn about some of the Main Industries that are Using Data to Improve their Business with 14 real-world Applications
And Much More
In book three, PYTHON MACHINE LEARNING, you will understand:
What are the Basics of Machine Learning and how it is Applied in real-world Situations
What is the Difference between Machine Learning, Deep Learning, and Artificial Intelligence
How to Implement Machine Learning Training Models, Regression Techniques and Linear Regression in Python
How to use Lists and Modules in Python
What are the 12 Essential Libraries for Machine Learning in Python
How to Correctly use Artificial Neural Networks
And Much More
And in book four, PYTHON DATA SCIENCE, you will discover:
What Data Science is all about and why so many Companies are Using it to get a Competitive Edge.
The main Data Structures & Object-Oriented Programming, Functions and Modules in Python with Practical Codes and Exercises
The 7 Most Important Algorithms and Models in Data Science
Data Aggregation, Group Operations, Databases and Data in the Cloud
9 important Data Mining techniques in Data Science
And So Much More
It doesn't matter if you are a beginner, or you never have coded before. This guide will slowly ease you into the world of Data Science. While most of the other similar books put the focus on theory and complicated concepts, this one is designed specifically for beginners.
Furthermore, topics are carefully selected to give you broad exposure, while not overwhelming you with too much information. Also, unlike the majority of books, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.
Ready to Master Python, Machine Learning and Data Science?Scroll Up and Click the BUY NOWButton to Get Your Copy
Описание: This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.
Описание: This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.
This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.
As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Описание: If you want to learn more about Data Analysis or how to master it with the Python Programming Language, then keep reading.
Everyone talks about data today. You have probably come across the term "data" more times than you can remember in one day. Data as a concept is so wide. One thing that is true about data is that it can be used to tell a story. The story could be anything from explaining an event to predicting the future.
Data is the future. Businesses, governments, organizations, criminals-everyone needs data for some reason. Entities are investing in different data approaches to help them understand their current situation, and use it to prepare for the unknown. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations.
With Python for Data Analysis you will learn about the main steps that are needed to correctly implement Data Analysis and the procedures to help you extract the right insights from the right data. Some of the topics that we will discuss inside include:
What Data Analysis is all about and why businesses are investing in this sector
The 5 steps of a Data Analysis
Pandas, Jupyter and PyTorch
The 7 Python libraries that make Python one of the best choices for Data Analysis
Neural Network
How Data Visualization and Matplotlib can help you to understand the data you are working with.
Some of the main industries that are using data to improve their business with 14 real-world applications
And Much More
While most books focus on how to implement advanced predictive models, this book takes the time to explain the basic concepts and all the necessary steps to correctly implement Data Analysis, including Data Visualization and providing practical examples and simple coding scripts. Don't miss the opportunity to learn more about these topics.
Even if you never used Data Analysis, learning it is easier than it looks, you just need the right guidance. This practical guide provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them in Python, and the most important real-world applications.
Would You Like To Know More?Scroll Up And Click The BUY NOW Button To Get Your Copy
Описание: If you want to learn more about Data Analysis or how to master it with the Python Programming Language, then keep reading.
Everyone talks about data today. You have probably come across the term "data" more times than you can remember in one day. Data as a concept is so wide. One thing that is true about data is that it can be used to tell a story. The story could be anything from explaining an event to predicting the future.
Data is the future. Businesses, governments, organizations, criminals-everyone needs data for some reason. Entities are investing in different data approaches to help them understand their current situation, and use it to prepare for the unknown. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations.
With Python for Data Analysis you will learn about the main steps that are needed to correctly implement Data Analysis and the procedures to help you extract the right insights from the right data. Some of the topics that we will discuss inside include:
What Data Analysis is all about and why businesses are investing in this sector
The 5 steps of a Data Analysis
Pandas, Jupyter and PyTorch
The 7 Python libraries that make Python one of the best choices for Data Analysis
Neural Network
How Data Visualization and Matplotlib can help you to understand the data you are working with.
Some of the main industries that are using data to improve their business with 14 real-world applications
And Much More
While most books focus on how to implement advanced predictive models, this book takes the time to explain the basic concepts and all the necessary steps to correctly implement Data Analysis, including Data Visualization and providing practical examples and simple coding scripts. Don't miss the opportunity to learn more about these topics.
Even if you never used Data Analysis, learning it is easier than it looks, you just need the right guidance. This practical guide provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them in Python, and the most important real-world applications.
Would You Like To Know More?Scroll Up And Click The BUY NOW Button To Get Your Copy
Описание: If you want to learn Python Programming in one week (or less) and learn it well, then keep reading.
Python is a powerful programming language that can be used for the development of various types of applications. It is an Object-Oriented Programming language and it is interpreted rather than being compiled.
Python is considered to be among the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also some of the major attractions for this language. Programmers are now developing a wide range of mobile as well as web applications that we enjoy on an everyday basis.
This book explains every single detail that you must know to start using Python. From Python installation to Object-Oriented Programming, from the definition of Data Types and Variables to a practical application on Decision Trees.
You will learn everything that you need to know to start programming with Python. Some of the topics that we will discuss inside include:
Python installation
Python Data Types
Python Variables
Basic Operators of Python Language
Data Structures
Learning about Functions
Conditional and Loops in Python
Object-Oriented Programming (OOP)
Inheritance and Polymorphism
Essential Programming Tools
Working with Files
Exception Handling
An application to Decision Trees
And Much More
Where most books about Python programming are theoretical and have few or little practical examples, Python for Beginners provides lots of simple, step-by-step examples and illustrations that are used to underline key conceptsand help improve your understanding.
Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, unlike the majority of books, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.
Even if you have never coded before, Python for Beginners is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners, so that you can easily master the Python language.
Would you like to become a Python geek?
Scroll to the top of the page and click the BUY NOW button to get your copy now
Автор: Campbell, Andrew,Park, Robert Название: The Growth Gamble ISBN: 1473658462 ISBN-13(EAN): 9781473658462 Издательство: Little Brown Рейтинг: Цена: 3036.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Too many companies kiss a lot of frogs in search of a prince. The Growth Gamble shows you how to spot princes at a distance.More and more corporations are experiencing a "growth gap" when the natural growth of their core businesses is not enough. Nearly every company tries to create new legs for its mature portfolio, yet as many as 99 percent of companies fail to create successful new growth platforms. Based on extensive new research The Growth Gamble is a major new book on the toughest challenge in management - finding, getting into and growing new businesses. Its startling conclusions will help you to "Stop Kissing Frogs " and enter only the most promising and profitable sectors for you company's strengths. Most importantly, the book will arm you with practical tools to help your company make the right decision based on a Traffic Lights Toolkit - a powerful screening and strategic thinking tool that helps managers identify real opportunities and learn to "Only Go On Green." With some startling "red light" conclusions, this exciting new book gives alternatives, equipping practitioners with the tools which help them to make the right decisions and identify good prospects without the trial and error.
Автор: Hempstead Andrew Название: Moon Banff National Park: Hike - Camp - See Wildlife ISBN: 1640498826 ISBN-13(EAN): 9781640498822 Издательство: Little Brown Рейтинг: Цена: 1516.00 р. Наличие на складе: Поставка под заказ.
Описание: Women of war examines the FANY as a case study of gender modernity using newspapers, memoirs, diaries, letters interviews, photographs and poetry. While these New Women challenged the limits of convention in terms of behaviour, dress and role, they were simulataneously deepy conservative, upholding imperialist, unionist and anti-feminist values. -- .
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