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sportscidata.com
| | dm13450.github.io

Principal component analysis (PCA) reduces a dataset to its main components. When we apply it to a dataset of different currencies it helps us understand how each currency drives the overall portfolio and what currency might be a common factor.
4.1 parsecs

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| | liorpachter.wordpress.com

In the Jeopardy! game show contestants are presented with questions formulated as answers that requireanswers in the form questions. For example, if a contestant selects "Normality for $200&...
3.9 parsecs

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| | algobeans.com

You are exploring the nutritional content of food. How can food items be differentiated? How might they be classified? PCA derives underlying variables that help you slice your data for these insights.
3.6 parsecs

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| | coornail.net

In the previous section we learned how to process Bearable's date field, and how to visualize some data points. Today we will learn to look for correlations between factors.
20.1 parsecs

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