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

Don't miss out on this new step by step guide to Machine Learning. All you need to do is scroll up and click on the BUY NOW button to learn all about it!

机器学习--Python

购买本书的平装版，可免费获得Kindle电子书版

你想成为一名机器学习专家吗？开始获取这本书，并按照我的步骤进行解释! 现在就点击添加到购物车!

本书是为任何想学习如何开发机器学习系统的人准备的。我们将以理论和实践的方式介绍关于机器学习算法的最重要的概念，我们将使用Python编程语言中的Scikit-learn库实现许多机器学习算法。在第一章中，你将学习机器学习的最重要的概念，在下一章中，你将主要从事分类工作。在最后一章中，你将学习如何训练你的模型。我假设你有编程的基础知识。

本书包含插图和分步解释，并附有要点和练习，让你轻松愉快地学习。

读这本书的好处，你在其他地方是找不到的。

机器学习简介

分类

如何训练一个模型

不同的模型组合

不要错过这本新的机器学习的步骤指南。你只需向上滚动并点击 "现在购买 "按钮，就可以了解到所有信息