Python for Data Analysis: A Basic Guide For Beginners To Learn The Language Of Python Programming Codes Applied To Data Analysis With Libraries, Simpson Oliver R.
If you want to be a machine learning expert, you do have to develop a sound understanding of all the nitty-gritty of this area and there's no other way around it.
But relax, this book is here to rescue you by simplifying and providing a working definition of machine learning technology.
The concepts of machine learning and machine learning algorithms can appear daunting and complex to most computer programming beginners.
Most of the information out there on various machine learning constitutes a description of a few pages, and yes, it is difficult to find time and energy to deal with such widespread detail.
However, it is important to master the concepts of machine learning technology and learn how researchers are breaking the boundaries of data science to mimic human intelligence in machines using various machine learning algorithms.
Some of the highlights of the book include:
- Master the concepts of artificial intelligence technology
- Learn how artificial intelligence technology is being applied in some of the most important industrial domains
- Learn the basic concepts and the definition of machine learning.
- Overview of different types of machine learning algorithms along with the relationship between machine learning and Artificial Intelligence technology.
- A thorough understanding of the concept of the "Statistical Learning" framework of machine learning has been provided.
- Deep dive into a variety of supervised and unsupervised learning algorithms explained in exquisite detail.
- Select algorithms have been explained with required mathematical equations for application in real life.
- Learn how the "Artificial Neural Networks" or (ANN) have been developed with inspiration from the structure of the human brain.
- Learn the 9 stages to create a data pipeline to build your own machine learning model.
- Learn the basics of Python programming language and some of the key features that render it as the language of choice for coding beginners and advanced software programmers alike.
- An overview of various renowned machine learning libraries such as "Scikit-Learn", "NumPy", "SciPy", "IPython", and "Pandas" among others.
This book is filled with real-life examples to help you understand the nitty-gritty of the concepts and names and descriptions of multiple tools that you can further explore and selectively implement to make sound choices for the development of a desired machine learning model.
Finally, as an added bonus you will learn some Python tips and tricks to take your machine learning programming game to the next level.
Remember knowledge is power and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices.
Your Python programming skillset will improve drastically and you will be poised to develop your very own machine learning model
Did you know that there are 698 programming languages? One of them that is the easiest to master is Python. Named after "Monty Python's Flying Circus", a BBC comedy series from the 1970s, learning Python is a piece of cake if you have the right teacher. And, there is no better and more straightforward teacher than this course
Python is a high-level programming language with dynamic semantics that emphasizes readability and ease of use.
The syntax rules of Python allow you to express concepts without writing additional code.
Python has an extensive and robust standard library, and it is an open-source programming language that will help you curtail the cost of software development significantly.
Also, Python is designed with features to facilitate data analysis and visualization. You can use it to create custom big data solutions without putting extra time and effort. So, what stops you from using Python to design amazing apps?
Don't let your fear of trying something new stop you If you have a great idea for a program or an app, but you don't know how to bring it to life, this book will be your savior.
In his book, Oliver teaches you everything there is to know about Python machine learning, data science, data analysis, and programming. Once you get the hang of the basics, this crash course will help you use all this knowledge for practical tasks and start programming in seven days
Here's what you'll discover inside this book:
- The Basics of Machine Learning: learn how to use classification algorithms and create data pipelines that are essential to machine learning
- Essential Skills for Python Programming: a straightforward guide that will turn you from a rookie into an expert in Python programming and coding
- How to Master Data Science: lessons that will teach you how to collect data from scratch, improve your skills, and become an unprecedented data scientist
- And much more
This book is not for people who want to learn what is programming. It is for those who dream of becoming expert programmers without spending months learning the basics. The thing is, you can't learn how to program overnight. But, if you set aside some time every day to read this book and practice, then you'll be able to start developing your programs and apps in no time
If you want to be a machine learning expert, you do have to develop a sound understanding of all the nitty-gritty of this area and there's no other way around it.
But relax, this book is here to rescue you by simplifying and providing a working definition of machine learning technology.
The concepts of machine learning and machine learning algorithms can appear daunting and complex to most computer programming beginners.
Most of the information out there on various machine learning constitutes a description of a few pages, and yes, it is difficult to find time and energy to deal with such widespread detail.
However, it is important to master the concepts of machine learning technology and learn how researchers are breaking the boundaries of data science to mimic human intelligence in machines using various machine learning algorithms.
Some of the highlights of the book include:
- Master the concepts of artificial intelligence technology
- Learn how artificial intelligence technology is being applied in some of the most important industrial domains
- Learn the basic concepts and the definition of machine learning.
- Overview of different types of machine learning algorithms along with the relationship between machine learning and Artificial Intelligence technology.
- A thorough understanding of the concept of the "Statistical Learning" framework of machine learning has been provided.
- Deep dive into a variety of supervised and unsupervised learning algorithms explained in exquisite detail.
- Select algorithms have been explained with required mathematical equations for application in real life.
- Learn how the "Artificial Neural Networks" or (ANN) have been developed with inspiration from the structure of the human brain.
- Learn the 9 stages to create a data pipeline to build your own machine learning model.
- Learn the basics of Python programming language and some of the key features that render it as the language of choice for coding beginners and advanced software programmers alike.
- An overview of various renowned machine learning libraries such as "Scikit-Learn", "NumPy", "SciPy", "IPython", and "Pandas" among others.
This book is filled with real-life examples to help you understand the nitty-gritty of the concepts and names and descriptions of multiple tools that you can further explore and selectively implement to make sound choices for the development of a desired machine learning model.
Finally, as an added bonus you will learn some Python tips and tricks to take your machine learning programming game to the next level.
Remember knowledge is power and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices.
Your Python programming skillset will improve drastically and you will be poised to develop your very own machine learning model
If your dream is to become a Python pro, or you always want to code like a boss, solve real-world problems, build web apps, or even automate repetitive tasks, then you've come to the right place.
By the end of this book, you will have mastered the fundamentals of Python language. You will learn how to create programs that will save you time and simplify your life.
Python is a straightforward language, so even if this is your first time to learn any programming language, you can learn Python without experiencing any issues.
Python has multiple applications, and so you've got a high probability of getting a great job once you become a pro in Python language.
Whether it's in web development, data analysis, scripting, and machine learning, all require that you be experienced in Python.
This is a beginner guide that will take you from absolute scratch to creating your first Python program.
Not only that, but you'll also learn lots of stuff about the Django Python framework.
With Django, you will learn how to create web apps very quickly and efficiently.
Here are some of the things you will learn:
How to install Python
How to install virtual environment
How to install Django
How to create a Django app
How to run Django commands
How to define and use functions
What are variables and how to use them
And many more topics
Python is hot right now.
It has a high demand in the IT sector.
Python skills keep growing and growing.
If you want to get into programming as a career, upgrade your existing job, or open up new opportunities in the IT field, you need to start learning Python today.
And what a better way to kick start your career in Python with this easy to read step by step guide.
- Do you want to learn about Data Science from absolute scratch?
- Do you want to learn how to program with Python? And become a Data Scientist?
- Do you want to have an established and well-paid job for the next few years? And earn a lot of money?
If your answer is Yes, keep reading...
Python is an excellent computer programming language used for many different functions.
The large community behind this open-source language has developed several tools to competently work with Python.
In recent years, different tools have been developed specifically for data science.
Therefore, analyzing data using Python has never been simplified.
In this book, you will kick start your career in python data science with basic arithmetic and variables; you will learn how to work with Python lists, Pandas, and Dataframes.
As you continue, you will be introduced to the concept of Python functions and control flow. Besides that, you will also learn about data visualizations with Python and build your own beautiful visualizations.
Even if you have never written a single python code, you'll be able to follow this book and see how Python makes Data Science simple.
Besides getting familiar with the basic Python syntax and common Data Science modules such as charts and graphs, you will also learn something about Bayes.
What you will learn:
Explore Python fundamentals and basic syntax
Build and manipulate regular Python lists
Build and customize plots on real data.
Use functions and import packages.
You will learn different kinds of plots
Python libraries
And many more...
If you don't want to stay out of the world of work...
If you don't want to be crushed by the greatest industrial revolution in history, but you want to be an active part of this evolution and enjoy its benefits as much as possible....
Then act now and don't miss this opportunity, I'm giving you What are you waiting for?
Автор: Goldsmith Oliver, Simpson Robert Название: Dr. Goldsmith`s History of Rome ISBN: 1241457247 ISBN-13(EAN): 9781241457242 Издательство: Неизвестно Рейтинг: Цена: 28280.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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