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A comprehensive introduction and guide for those interested in learning the programming language known as Python, and how to create and experiment with various projects made easily possible by the said language
Have you been thinking of learning programming?
How about learning the Python language?
Are you looking for that informative and beginner-friendly material to help you create projects on your own?
If it's a yes to these questions, then you just came across the right book to help you!
Having included an array of insightful modules and procedures found within this guide, Python Projects For Beginners serves as the ultimate guide that will introduce its readers to data science, coding, programming, and analysis. Intended to be an educational material that will assist anyone unfamiliar in creating Python projects, this book is sure to groom anyone into quickly becoming a reasonably knowledgeable and skilled individual in the programming field of the Python language.
- Readers can expect to be informed about:
- The differences between Python 2 and 3;
- The Python variables and operators;
- The several data types and data structures;
- Generating strings, loops, and conditional statements;
- Numerous projects and web applications that you can try;
All of these are potential takeaways that you can acquire just by reading this book, so much so that we guarantee that by the end of this book, you will have been well-versed enough actually to create something on your own.
Get this book to get started training those fingers to know how to code with Python now!
Are you one of those individuals who want to learn more about machine learning using Python? Perhaps you are seeking a detailed guide explaining how you can manage machine learning easily and hassle-free.
Then look no further because this book, Machine Learning Using Python: Discover The World Of Machine Learning Using Python Algorithm Analysis, Ide, and Libraries. Projects Focused On Beginners, got you covered!
The word machine learning is all about the ability of a machine to learn and acquire something without any pre-existing program. Did you know that automatic learning is a means to educate an algorithm to learn from different environmental scenarios?
Machine learning is all about the use of massive volumes of data, and an effective algorithm enabled us to improve and adapt its abilities based on recurring circumstances. Humans utilize machine learning data algorithms to make their experience more secure, simpler, and efficient from online shopping to social media and banking operations.
This book aims to offer you all the details you need to leverage your skills and offer you the right level of education. All the topics included in this guide will be supported by practical exercises and examples, which will allow you to reinforce your level of knowledge.
Here’s a quick peek of what you will learn in this book:
- When Should We Use Machine Learning History
- Steps In Building A Machine Learning System
- Categories Of Machine Learning
- Sectors And Industries That Use M.L
- Installing Scikit -Learn
- Introduction To Bias And Variance
- And So Much More
This book has been written to meet every level of education. There’s no need for you to worry if your level of knowledge is low and doesn’t have any prior experience. Let this book be your ultimate guide.
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