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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

Cleaning web log data

We're going to show the importance of cleaning your data. I have some web log data from a little website that I own. We are just going to try to find the top viewed pages on that website. Sounds pretty simple, but as you'll see, it's actually quite challenging! So, if you want to follow along, the TopPages.ipynb is the notebook that we're working from here. Let's start!

I actually have an access log that I took from my actual website. It's a real HTTP access log from Apache and is included in your book materials. So, if you do want to play along here, make sure you update the path to move the access log to wherever you saved the book materials:

logPath = "E:\\sundog-consult\\Packt\\DataScience\\access_log.txt"

Applying...

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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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