January 2018
Beginner to intermediate
316 pages
7h 14m
English
Content preview from Feature Engineering Made Easy
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Understanding the basics of data and machine learning
When we talk about data, we are generally dealing with tabular data, that is, data that is organized into rows and columns. Think of this as being able to be opened in a spreadsheet technology such as Microsoft Excel. Each row of data, otherwise known as an observation, represents a single instance/example of a problem. If our data belongs to the domain of day-trading in the stock market, an observation might represent an hour’s worth of changes in the overall market and price.
For example, when dealing with the domain of network security, an observation could represent a possible attack or a packet of data sent over a wireless system.
The following shows sample tabular data in the domain ...
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