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Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python

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MACHINE LEARNING - PYTHON★★Buy the Paperback version of this book, and get the Kindle eBook version included for FREE! ★★

Do You Want to Become An Expert Of Machine Learning?? Start Getting this Book and Follow My Step by Step Explanations! Click Add To Cart Now!

This book is for anyone who would like to learn how to develop machine-learning systems. We will cover the most important concepts about machine learning algorithms, in both a  theoretical and a practical way, and we'll implement many machine-learning algorithms using the Scikit-learn library in the Python programming language. In the first chapter, you'll learn the most important concepts of machine learning, and, in the next chapter, you'll work mainly with the classification. In the last chapter you'll learn how to train your model. I assume that you've knowledge of the basics of programming



This book contains illustrations and step-by-step explanations with bullet pointsand exercises for easy and enjoyable learning.



Benefits of reading this book that you're not going to find anywhere

Introduction to Machine LearningClassificationHow to train a ModelDifferent Models Combinations

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94 pages, Kindle Edition

Published May 21, 2018

17 people are currently reading
8 people want to read

About the author

Rudolph Russell

14 books2 followers

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Profile Image for Azra Tuni.
9 reviews13 followers
March 29, 2022
I started reading this book with one clear objective in mind, that is, even if I don't learn more algorithms, I absolutely will learn Linear Regression from this book which is like the most basic algorithm. I had thought this book to be more beginner-friendly... This book does have a section for Linear Regression (what I was looking forward to) along with other algorithms and stuff but I didn't get it. I read the LR section multiple times and just didn't get it.

NB: I do have programming knowledge which is the pre req of this book.

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