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José L. Cañadas-Reche's Projects

abstractions icon abstractions

An experiment to build abstract drawings with #Rstats and physarum model

bayes-vis-paper icon bayes-vis-paper

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

box icon box

Write reusable, composable and modular R code

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covid-reports icon covid-reports

Working on covid timeseries and trying to find stuff about them

crosstalk icon crosstalk

Inter-htmlwidget communication for R (with and without Shiny)

data-and-model-drift-checker icon data-and-model-drift-checker

How do we measure the degradation of a machine learning process? Why does the performance of our predictive models decrease? Maybe it is that a data source has changed (one or more variables) or maybe what changes is the relationship of these variables with the target we want to predict. `pydrift` tries to facilitate this task to the data scientist, performing this kind of checks and somehow measuring that degradation.

datascience icon datascience

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

datasets icon datasets

Fuente de datos de los reportajes y proyectos de periodismo de investigación y datos de DATADISTA

estim_paro_epa icon estim_paro_epa

Estimación de tasa de paro provincial por edad y estudios a partir de la EPA utilizando modelos mixtos sencillos

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