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A curated list of awesome R packages, frameworks and software.
Code accompanying the book "Machine Learning for Hackers"
Statistical Rethinking course and book package
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 al…
Convert statistical analysis objects from R into tidy format
An R package for the Quantitative Analysis of Textual Data
Repository for Programming Assignment 2 for R Programming on Coursera
JVM-based interpreter for the R language for the statistical analysis.
Very concise notes on machine learning and statistics.
Traveling salesman with simulated annealing, R, and Shiny
The classifier used in the http://foodborne.smartchicagoapps.org/ application.
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.
Small web apps that illustrate statistical concepts
R functions for fitting latent factor models with internal computation in C/C++
RHive is an R extension facilitating distributed computing via Apache Hive.
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
This repository contains all code examples in Machine Learning for Email, by Drew Conway and John Myles White.