| MACHINE LEARNING WITH PYTHON: Step by Step methods to master Machine Learning with Python|
by Alexander Cane
$0.00, 123 pages, 5.0 out of 5.0 (3 reviews), #11 in Python Computer Programming
Are you looking for a guide that will teach you all you need to know about machine learning? Are you looking for a way to learn how to write algorithms from scratch? Then read on…
Artificial intelligence is a common part of our lives, and we use it daily. Machine learning is one application of artificial intelligence and is where software, computers and devices use cognition to learn. If you use Siri on an iPhone, Cortana on your Windows PC, or Alexa, you are already making use of machine learning, especially when they provide you with traffic news, weather predictions, search results, and more.
With this guide, you will learn the machine learning basics, using real code and open-source data sets.
You will learn:
I even provide you with a multiple choice quiz, complete with answers, to help you test your knowledge.
If you know nothing about Machine Learning, this is the guide for you - simple, precise, and with plenty of examples.
Hit the Buy Now button to start learning how to code your very own machine learning algorithms.
| python for data analysis: the python crash course comprehensive the programming from the ground up to python|
by jason cannon
$0.00, 194 pages, 0.0 out of 5.0 (0 reviews), #4 in Python Computer Programming
Python for Data Analysis will explore many areas of Python and how different functions work and how it all correlates to python. We will also supply you with many examples by using graphs and charts.
In chapter 1 we begin by giving you an overview of the different Python libraries. We also give a brief description; explain why they are popular, and what their functions are.
In chapter 2 we discuss the Panda library and give a rundown of its basics and why it is one of the more popular libraries and most commonly used today.
In chapter 3 we dive into the retrieving, processing, and storing of the data that is utilized in Python.
Chapter 4 explores data visualizations and the use of charts and graphs to assist in visualizing the data that is generated through Python.
With chapter 5 you will become familiar with working with the databases that Python supports. A few examples of these include SQL, API, and SQLite.
Chapter 6 will cover predictive analytics and machine learning. It will describe the way machine learning and predictive analytics plays a role in Python and how Python can help to advance machine learning.
Finally, in chapter 7, we see Python’s involvement with time series and signal processing. You will have several graphs available that allows you to see the data at work.
As the chapters will show you, Python for Data Analysis is a great way to get a huge amount of information in a hurry. It is beautifully detailed, and gives you a nice amount of visuals that help you to understand the information that is presented in the chapter. So no matter if you are just beginning in Python or need to learn it in a hurry, Python for Data Analysis is sure to provide you with what you need.
| Python for Six Sigma|
by SHU LIU
$0.00, 347 pages, 0.0 out of 5.0 (0 reviews), #300 in Python Computer Programming
In the era of Industry 4.0, all successful companies are transforming their production facilities into a ‘smart factory’. They are competing for real-time access to continuous flow of data from their production lines and from their customers. The rich data flow enables companies to serve customers with innovative products and services. If you, the individual employee, want to be an active contributor in this revolution, you will need to become a data scientist and a process improvement expert. As a Six Sigma practitioner, you are already equipped with skills needed to systematically solve a problem through the approach of “define, measure, analyze, improve, and control” (DMAIC). But there is more for you to learn. To become a good data scientist in the new era, you will need to develop some knowledge of machine learning techniques and learn at least one machine learning programming language. The goal of this book is to teach you how to use Python for data analytics in your Six Sigma projects. This is done by following Six Sigma’s DMAIC roadmap and by using many case studies in which mathematics are discussed prior to step-by-step instructions on Python coding. After you have read this book, you will become an expert with knowledge in using Python for your Six Sigma projects. You will have a critical new skill to prepare yourself for success in Industry 4.0.
| DJANGO AND JAVA FOR BEGINNERS: 2 BOOKS IN 1 - Learn Coding Fast! DJANGO AND JAVA Crash Course, A QuickStart Guide, Tutorial Book by Program Examples, In Easy Steps!|
by TAM SEL
$0.00, pages, 0.0 out of 5.0 (0 reviews), #13 in Python Computer Programming
YOU WILL SAVE 33% WITH THIS OFFER.
This Books Absolutely For Beginners:
“DJANGO FOR BEGINNERS” covers all essential DJANGO language knowledge. You can learn complete primary skills of DJANGO programming fast and easily. The book includes practical examples for beginners.
"JAVA FOR BEGINNERS " covers all essential JAVA language knowledge. You can learn complete primary skills of JAVA programming fast and easily. In addition to that 20 Interview questions and answers in JAVA.
By this book you can learn fundamentals of JAVA.
TABLE OF CONTENTS
Django URL Mapping
Django Static Files Handling
Django Model Form
Django Form Validation
Django File Upload
Django Database Connectivity
Django Database Migrations
Django Request and Response
Create CSV with Django
Django with Bootstrap
Django Deployment to Github
Django CRUD (Create Read Update Delete) Example
JAVA FOR BEGINNERS
Download & Install Java JDK 8 in Windows
Hello World: How to Create Your First Java Program
Java Variables and Data Types with Example
Types of variables
Data Types in Java
Byte Data Type
Long Data Type
Operators in java
Java Arithmetic Operator
Java AND Operator
Java OR Operator
Java Ternary Operator
Java Assignment Operator
Java If-else Statement
Java if Statement
Java Switch Statement
Loops in Java
Java For Loop
Java While Loop
Java do-while Loop
Inheritance in Java
Create Array of Objects in Java
Java String Manipulation
Java Abstract Class and Methods with example
Java Interview Questions with Answers
| Easy Learning Design Patterns Python 3: Reusable Object-Oriented Software|
by yang hu
$0.00, 118 pages, 2.0 out of 5.0 (1 reviews), #7 in Python Computer Programming
Design pattern is a approach to solve some specific problems which each software developer comes across during his work. Design patterns capture higher-level constructs that commonly appear in programs.
This book takes a user-friendly approach to covering Python 3 design patterns. Its concise presentation means that in a short space of time, you will get a good introduction to various design patterns.
1. Strategy Pattern Principle
2. Strategy Pattern Case
3. Composition Pattern Principle
4. Composition Pattern Case
5. Singleton Pattern Principle
6. Template Pattern Principle
7. Template Pattern Case
8. Factory Pattern Principle
9. Factory Pattern Case
10. Builder Pattern Principle
11. Builder Pattern Case
12. Adapter Pattern Principle
13. Adapter Pattern Case
14. Facade Pattern Principle
15. Facade Pattern Case
16. Decorator Pattern Principle
17. Prototype Pattern Shallow Clone
18. Prototype Pattern Deep Clone
19. Bridge Pattern Principle
20. Bridge Pattern Case
21. FlyWeight Pattern Case
22. Chain Pattern Principle
23. Chain Pattern Case
24. Command Pattern Case
25. Iterator Pattern Case
26. Mediator Pattern Case
27. Memento Pattern Case
28. Observer Pattern Principle
29. Visitor Pattern Principle
30. State Pattern Case
31. Proxy Pattern Principle
by NITIN KANANI
$0.00, 87 pages, 0.0 out of 5.0 (0 reviews), #10 in Two-Hour Computers & Technology Short Reads
ALL IN ONE BOOK
I started making these lists for my own use in 2013 when an Amazon policy change gutted all of the web sites that listed free Kindle books. Before the policy change, those sites would get some amount of compensation for directing people to the Amazon web site. After the policy change, they lost all compensation for the month if most of their referrals that month were for free books. So most of those web sites stopped listing the free books.
I use the description "newly free" for these book lists. That means I won't list a book again if I've listed it recently. There are so many books that are permanently free, or frequently free, that it makes it difficult to find "newly free" books manually looking through the Amazon search results. There are just too many repeats every day. But I have included the links to those Amazon searches on the category headers, so you can always click the link to see the full list if you'd like. My process just extracts the "newly free" books from those search results, by keeping a record of books I've listed in the past.
The lists are designed for easy navigation through the books. Clicking on the blurb of any given book will bring the next book in the list up to the top of the screen. This makes it easy to quickly go through them one-by-one. Each category header has an index of the various categories available, and also shows the number of books available in each category. Clicking on the category header itself will bring up the full Amazon search listing of free books for that category.
If you're in Canada, Germany, or the UK, clicking on the "CA" or "DE" or "UK" link in the top right hand corner of the document will change all of the book links from USA to Canada or Germany or the UK. But they may not be free there as they are in the USA. Usually, but not always.
If an author classifies their book as belonging to multiple genres (e.g. fantasy, horror), it will only be listed in the first genre that I process. I process the sub-categories of a major category first, so that the book will be listed in the more specific category.
The rating and # of reviews will be highlighted green to flag ratings above 4.5 stars with more than 50 reviews.
Horizontal bars above the blurbs may be red. You can ignore that. They're just reminders to me that I have already purchased that book.
Three ways to search for free (or Prime) books on Amazon:
Currently, there are about 90,000 free Kindle books, a thousand "Prime Reading" books, and over 1.6 million "Prime Eligible" books. With only a few exceptions, "Kindle Unlimited" means "Prime Eligible". "Prime Reading" offers unlimited loans per month, while "Prime Eligible" is just one loan per month.
From the initial search results, you can drill down into categories and use any of the left navigation bar filters.
Those same searches with a keyword:
Click on the "search" part of the "results for" line and you can change the search term to whatever you desire. Then you can continue as before and use the normal drill-down and/or filter choices.
There are two Reddit groups that regularly have free Kindle books listed:Kindle Freebies
The eReaderIQ web site is a price tracking service for Kindle books. It allows you to set up watch lists for books and authors, and then they will send you an email alert when a book reaches a certain price, or an author has a book with a price reduction.
The BookBub web site will send you email alerts with handpicked recommendations on books, for your selected genres. Some are free, others just have price reductions.
Galaxy Science Fiction was an American digest-size science fiction magazine, published from 1950 to 1980, and they are now offered free online:https://archive.org/details/galaxymagazine?sort=-date
They can be downloaded as mobi files for the Kindle as well as being read online. Used to be one of my favorite SF magazines. I almost always had one with me when I was in high school.
If you're more interested in mainstream books, check to see what options you have from your local library. Many use the Overdrive or Libby sites to loan out Kindle books. If that's not available to you, or your local library has a limited collection, the "Free Library of Philadelphia" has an extensive Overdrive collection, and an out-of-state library card is only $50 per year. Less than half the price of KU.
Project Gutenberg, founded in 1971, is an Internet archive of free public domain books, created via a volunteer effort that digitizes and archives such books. You can download the Kindle format of a book and then transfer the book to your Kindle directly using a USB cable or by emailing it to your Kindle via its Send-to-Kindle email address using your email client or something like the Amazon Send-To-Kindle tool or an eBook management tool like Calibre.
Notifications of new listings will be made in various GoodReads discussion groups (e.g. Amazon Kindle), as well as on the Reddit FreeEBOOKS group. There is also an RSS Feed.