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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Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
- word2vec
- text-mining
- natural-language-processing
- glove
Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.
A repository of learning & R resources related to topic models
Convert many data formats to & from GeoJSON & TopoJSON