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Predicting stroke (II): Model selection
Second part of the series Predicting stroke. Description So far we’ve seen different models and approaches to the problem of classifying people in the “stroke” group and the “no-stroke” group. However, we haven’t compared them yet.
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Predicting stroke (I): Trying different classification algorithms
Assignment for “Knowledge technology”, course in the Master in Methodology for behavioral sciences. This post correspond to the first part of the “series” Predicting stroke, which consists of a set of independent works in which I try to solve an applied machine learning problem: to accurately classify people who have suffered a stroke or not, based on different predictors.
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ANOVA from scratch
Project developed for the “Computer methods” course in the Master in Methodology for behavioral sciences. Full description and examples can be found here and here. Main function ANOVA: Perform a one- or two-way fixed-effects ANOVA.
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