Machine Learning with Python: A Practical Beginners’ Guide

by Oliver Theobald

As the second title in the Machine Learning for Beginners series, this book teaches beginners to code basic machine learning models using Python. The book is designed for beginners with basic background knowledge of machine learning, including common algorithms such as logistic regression and decision trees. If this doesn’t describe your experience or if you need a refresher, key concepts from machine learning in the opening chapter and there are overviews of specific algorithms dispersed throughout this book. For a gentle and more detailed explanation of machine learning theory minus the code, I suggest reading the first book in this series Machine Learning for Absolute Beginners (Second Edition), which is written for a more general audience.

In this step-by-step guide you will learn:
- To code practical machine learning prediction models using a range of supervised learning algorithms including logistic regression, gradient boosting, and decision trees
- Clean and inspect your data using free machine learning libraries
- Visualize relationships in your dataset including Heatmaps and Pairplots using just a few lines of simple code
- Develop your expertise in managing data using Python

Please feel welcome to join this introductory course by buying a copy, or sending a free sample to your chosen device.

153 pages, Kindle Edition

Published August 15, 2019

Reviews

[Ossian Hempel · Rating 3 out of 5]

Good but same old

The book contained good information and covered a range of methods. Unfortunately, the content isn’t any different from what can easily be found and easier learned from a YouTube video. Overall, good content but nothing special.

[Rine Arul · Rating 4 out of 5]

Good Start for beginners

I was interested in a book which approached the topic using python. this book does it very well with examples. Although I am from ML major many moons ago, it use to be C or C++ during my college years. thus I found that the author did a great job introducing ML and how it was executed in Python.

[Pedro · Rating 5 out of 5]

Pretty simple coding, yet very effective. By the end of it you will know how to build most of the basic machine learning codes.

Read while implementing in just 3 days! Coupled with the first book I now feel that I have a much more solid base to build upon for my future Machine Learning knowledge.