A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
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A guide to some of the most useful R Packages that we know about
A DBI-compliant interface to PostgreSQL
rpostgis: R Interface to a 'PostGIS' Database
- rstats-package
- postgresql-database
- postgis
:white_flower::scroll: R package: RStudio Addin to insert ('stamp') useful Quarto elements
- quarto
- rstudio-addin
- rstats
- rstats-package
Accesses parasite occurrence records from the London Natural History Museum's Host-Parasite database, which contains over a quarter of a million helminth records.
- helminth
- parasites
- open-data
- disease-networks