Machine Learning With Python (Paperback)

Machine Learning With Python By Eric Chamberlin Cover Image
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Description


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.


So what are you waiting for? Scroll up this page and click BUY NOW

Product Details
ISBN: 9781801098243
ISBN-10: 1801098247
Publisher: Davide Cicatiello
Publication Date: October 7th, 2020
Pages: 184
Language: English