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Useful concepts
Gubynator edited this page May 15, 2018
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PCA Principal Component Analyisis: statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables
Feature: Making a reference to a certain characteristic of a certain data point. It is some metadata that we will use for our analysis.