This repository consists of a script that includes the analysis of data with a varying set of machine learning models. Toy data is created and model fit and model prediction are executed including k-fold cross validation. This example is inspired by a blog called machinelearningmastery.com. The specific link to that blog can be found in the wrapper.py script.
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