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

English | 2018 | ISBN: 978-1719528405 | 106 Pages | EPUB | 10 MB

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 points and exercises for easy and enjoyable learning.
Benefits of reading this book that you’re not going to find anywhere else:

• Introduction to Machine Learning
• Classification
• How to train a Model
• Different Models Combinations