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Python Machine Learning by Example
Key Features Book Description Data science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning.
This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation. With the help of various projects included, you will find it intriguing to acquire the mechanics of several important machine learning algorithms - they are no more obscure as they thought. Also, you will be guided step by step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and best practices of applying machine learning techniques.
Through this book, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple language, Python. Interesting and easy-to-follow examples, to name some, news topic classification, spam email detection, online ad click-through prediction, stock prices forecast, will keep you glued till you reach your goal. What you will learn
Table of Contents
This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation. With the help of various projects included, you will find it intriguing to acquire the mechanics of several important machine learning algorithms - they are no more obscure as they thought. Also, you will be guided step by step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and best practices of applying machine learning techniques.
Through this book, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple language, Python. Interesting and easy-to-follow examples, to name some, news topic classification, spam email detection, online ad click-through prediction, stock prices forecast, will keep you glued till you reach your goal. What you will learn
Table of Contents
- GenresCoding
254 pages, ebook
Published May 31, 2017
16 people are currently reading
154 people want to read
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Displaying 1 - 6 of 6 reviews
June 25, 2020
Desperately needs a proofreader.
November 9, 2021
This books provides you the BASIC code to run a model. And it does not provide in depth knowledge, does not show you how to tune and play around with these model to get maximum results.
It' too simple for anyone who have had some experiences in this field already.
It' too simple for anyone who have had some experiences in this field already.
July 14, 2020
Good for a beginner, with certain proficiency with python.
June 12, 2021
There are a fair quite a few graphs that use colour, however the book is printed in black and white. The workaround solution that the publisher chose was to give a link to download a pdf document with all the figures in colour. This is a bit lazy, the graphs should have been designed so they were readable in black and white.
Displaying 1 - 6 of 6 reviews