Scalable R for Machine Learning
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Updated
Sep 11, 2018 - R
Scalable R for Machine Learning
Recursive Partitioning for Structural Equation Models
Material didático da disciplina Introdução à Modelagem de Big Data, oferecida pelo Departamento de Estatística da UFRN
An R package to retrieve political event data from the UTD API server
scBubbletree: quantitative tool for visual exploration of scRNA-seq data
How to download raster files from Copernicus land cover website, load them into R, merge into a single raster, calculate average weighted percentage of built-up areas for every French commune and make a pretty choropleth map using <150 lines of code.
This tool is used to find anomalies or suspicious login events, especially to detect lateral movement.
Investigation Workshop Course II
Plot a choropleth map using OSM data and geospatial analysis
OptimClassifier — Create the Best Train for Classification Models
Projects created using R
WNE SparkR Workshop - set of scripts and notebooks
Big Data Implementations - Quantitative_Research
In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were s…
Covariance/Correlation for big data in base R
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