Monthly Archives: November 2017

Data Science Done Right (the Kitchen Style) #8

Using linear regression for dimensionality reduction In our linear model, designed and developed (in R) in the previous chapters, we calculate not only new images of the data, being projected on the chosen element of the quotient space that satisfy … Continue reading

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Data Science Done Right (the Kitchen Style) #7

We just created, in the previous post, a simple univariate, multivariable regression function ks_lm0 that calculates regression slopes and intercept. However, it would be interesting not only to find out what our quotient (or factor) space X/Y would be (which … Continue reading

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