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Go Machine Learning Projects

You're reading from   Go Machine Learning Projects Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788993401
Length 348 pages
Edition 1st Edition
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Author (1):
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Xuanyi Chew Xuanyi Chew
Author Profile Icon Xuanyi Chew
Xuanyi Chew
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Toc

Table of Contents (12) Chapters Close

Preface 1. How to Solve All Machine Learning Problems FREE CHAPTER 2. Linear Regression - House Price Prediction 3. Classification - Spam Email Detection 4. Decomposing CO2 Trends Using Time Series Analysis 5. Clean Up Your Personal Twitter Timeline by Clustering Tweets 6. Neural Networks - MNIST Handwriting Recognition 7. Convolutional Neural Networks - MNIST Handwriting Recognition 8. Basic Facial Detection 9. Hot Dog or Not Hot Dog - Using External Services 10. What's Next? 11. Other Books You May Enjoy

Exploratory data analysis

Let's jump into the data. The LingSpam corpus comes with four variants of the same corpus: bare, lemm, lemm_stop, and stop. In each variant, there are ten parts and each part contains multiple files. Each file represents an email. Files with a spmsg prefix in its name are spam, while the rest are ham. An example email looks as follows (from the bare variant):

Subject: re : 2 . 882 s - > np np
> date : sun , 15 dec 91 02 : 25 : 02 est > from : michael < mmorse @ vm1 . yorku . ca > > subject : re : 2 . 864 queries > > wlodek zadrozny asks if there is " anything interesting " to be said > about the construction " s > np np " . . . second , > and very much related : might we consider the construction to be a form > of what has been discussed on this list of late as reduplication ? the > logical...
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