Introducción a la Ciencia de Datos - Máster DATCOM 2020/2021
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Updated
Jan 15, 2021 - R
Introducción a la Ciencia de Datos - Máster DATCOM 2020/2021
Taking a look at some of machine learning models and a walk through on training models using different dataset
Spatial econometrics models and statistical analysis
App: Future precipitation in every country of the world based on different CO2 emission scenarios and CMIP5 models.
Model ensemble for third-party lucky series, such GSClassifier
Statistical analysis on calcium concentration during dialysis
Machine Learning algorithms in R
Lasso + Bootstrap methods for predictive modeling
A repository to play around with basic R techniques
R is the most used language which in Statistics which is slowly replacing tools like excel and SPSS to some extent.
This repository is for research code for the Brody Lab at the University of California - Irvine
Supplemental materials for: B. W. Rolek, B. Pauli, A. Macias-Duarte, B. Mutch, P. Juergens, T. Anderson, C. Parish, J. Johnson, B. Millsap, C. J. W. McClure. 2022. Long-term Demography of a Reintroduced and Isolated Population of Endangered Falcons. Global Ecology and Conservation. Follow this link for an Rmarkdown of supplemental materials Appe…
Age-structured stochastic population model to simulate feral pig control and eradication scenarios on Kangaroo Island, South Australia
machine learning models
Integrated data state-space models for Northwestern raptor population trends
UP: Universal Prediction distribution for surrogate models
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