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Hands-On Data Science and Python Machine Learning

You're reading from Hands-On Data Science and Python Machine Learning Perform data mining and machine learning efficiently using Python and Spark

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787280748

Length 420 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Mining

Author (1):

Frank Kane

View More author details

Table of Contents (11) Chapters

Preface

1. Getting Started FREE CHAPTER

2. Statistics and Probability Refresher, and Python Practice

3. Matplotlib and Advanced Probability Concepts

4. Predictive Models

5. Machine Learning with Python

6. Recommender Systems

7. More Data Mining and Machine Learning Techniques

8. Dealing with Real-World Data

9. Apache Spark - Machine Learning on Big Data

10. Testing and Experimental Design

Who this book is for

If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful.

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Authors (1)

Frank Kane

Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.

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