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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

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787280748
Length 420 pages
Edition 1st Edition
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Concepts
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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (11) Chapters Close

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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