<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>https://charlesreid1.com/w/index.php?action=history&amp;feed=atom&amp;title=RasbperryPi%2FData_Acquisition</id>
	<title>RasbperryPi/Data Acquisition - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://charlesreid1.com/w/index.php?action=history&amp;feed=atom&amp;title=RasbperryPi%2FData_Acquisition"/>
	<link rel="alternate" type="text/html" href="https://charlesreid1.com/w/index.php?title=RasbperryPi/Data_Acquisition&amp;action=history"/>
	<updated>2026-06-19T23:16:11Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.39.12</generator>
	<entry>
		<id>https://charlesreid1.com/w/index.php?title=RasbperryPi/Data_Acquisition&amp;diff=15013&amp;oldid=prev</id>
		<title>Admin: Created page with &quot;=Overview=  The idea here is to create a set of scripts that create time series from the Raspberry Pi computers - turning them, effectively, into sensor platforms.   The data:...&quot;</title>
		<link rel="alternate" type="text/html" href="https://charlesreid1.com/w/index.php?title=RasbperryPi/Data_Acquisition&amp;diff=15013&amp;oldid=prev"/>
		<updated>2017-02-26T06:51:46Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;=Overview=  The idea here is to create a set of scripts that create time series from the Raspberry Pi computers - turning them, effectively, into sensor platforms.   The data:...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;=Overview=&lt;br /&gt;
&lt;br /&gt;
The idea here is to create a set of scripts that create time series from the Raspberry Pi computers - turning them, effectively, into sensor platforms. &lt;br /&gt;
&lt;br /&gt;
The data:&lt;br /&gt;
* CPU usage&lt;br /&gt;
* memory usage&lt;br /&gt;
* Networking data&lt;br /&gt;
* Wireless data&lt;br /&gt;
* Sniffing various network interfaces&lt;br /&gt;
* Sniffing wifi networks&lt;br /&gt;
&lt;br /&gt;
Parse network data and create Python workflow:&lt;br /&gt;
* Scapy&lt;br /&gt;
* Notebooks&lt;br /&gt;
* Extract data&lt;br /&gt;
* Visualize&lt;br /&gt;
* Pandas&lt;br /&gt;
* Can apply machine learning, unsupervised learning, classification to data&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Flags=&lt;br /&gt;
&lt;br /&gt;
{{PiFlag}}&lt;/div&gt;</summary>
		<author><name>Admin</name></author>
	</entry>
</feed>