About The E-Book
- Title – Machine Learning with Python
- Author – Rudolph Russell
- Total Pages – 103 Pages
- Total Chapters – 4 Chapters
- E-Book Size – 1 MB
This book is for anyone who wants to learn how to develop Machine Learning with python systems. We will cover the most important concepts about machine learning algorithms theoretically and practically, 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 classification. In the last chapter, you’ll learn how to train your model. I assume that you know the basics of programming
Book Contents
- Introduction to Machine Learning
- What Is Machine Learning
- What Problems Will Machine Learning Be Solving in This Book?
- Classification
- Regression
- Clustering
Example Pages



This book contains illustrations, step-by-step explanations, 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
Thank You !!
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