Machine Learning with Python: A Step by Step Guide to Learn Machine Learning with Python for Beginners

by Brian Walker

Do you want to learn about machine learning? Are you feeling left out in the rat race where everyone is brushing up on their knowledge in the fields of AI and machine learning? Are you on a time crunch and don’t have enough time or resources to take a formal course on machine learning? If the answer to any of the above questions is yes, then you have chosen the right book.

Throughout the course of this book, you will learn how you can get started with machine learning in Python. This book is a beginner’s guide on the topic of machine learning and will walk you through its different procedures, data composition, and machine training. You will also learn how to build a machine-learning model using various algorithms.

This book will teach you:

What machine learning is
The advantages and disadvantages of machine learning
The algorithms in machine learning
The different concepts of machine learning
The types of machine learning
Why use machine learning in Python
Data composition on machine learning
Machine learning applications
Cleaning data using Python
Manipulating data in Python using machine learning
Implementing Machine learning
And much more

So, what are you waiting for? Grab a copy of this book today and get started on your quest to practicing machine learning.

165 pages, Kindle Edition

Published June 16, 2019