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| | dm13450.github.io
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| | 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.
| | liorpachter.wordpress.com
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| | 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&...
| | poissonisfish.com
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| | My last entryintroduces principal component analysis (PCA), one of many unsupervised learning tools. I concluded the post with a demonstration of principal component regression (PCR), which essentially is a ordinary least squares (OLS) fit using the first $latex k &s=1$ principal components (PCs) from the predictors. This brings about many advantages: There is virtually no...
| | ddarmon.github.io
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