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Topic > Machine Learning

Bayesian Methods (3 project)
Boosting (7 project)
Genetic Algorithms (2 project)
Model Selection and Validation (9 project)
Neural Networks (2 project)
Random Forests (3 project)
Recursive Partitioning (7 project)
Regularized and Shrinkage Methods (11 project)
Support Vector Machines (1 project)

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1 project in result set.

0. ElemStatLearn - Data sets, functions and examples from the book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman.

Development Status : 5 - Production/Stable [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
Natural Language : English (Now Filtering)
Operating System : OS Independent [Filter]
Programming Language : R (Now Filtering)
Topic : Datasets (Now Filtering)
Topic : Machine Learning [Filter]

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Registered: 2010-02-10 01:05