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RDataMining.Rmd
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---
title: "R and Data Mining Resources"
output: html_document
---
R generic:
[RSeek](http://rseek.org/)
[Google's course](https://www.youtube.com/playlist?list=PLOU2XLYxmsIK9qQfztXeybpHvru-TrqAP)
[swirl](http://swirlstats.com/) package provides an introduction to R by means of interactive courses.
Web Resources:
[http://www.rdatamining.com/](http://www.rdatamining.com/)
Books:
Torgo, Luis, 2020. Data Mining with R: Learning with Case Studies (2nd Edt.). Chapman & Hall/CRC.
Rattle
Popular packages ():
+ e1071 Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier etc.
+ rpart Recursive Partitioning and Regression Trees.
+ nnet Feed-forward Neural Networks and Multinomial Log-Linear Models
+ randomForest Breiman and Cutler's random forests for classification and regression
+ caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models
+ kernlab Kernel-based Machine Learning Lab
+ glmnet Lasso and elastic-net regularized generalized linear models
+ ROCR Visualizing the performance of scoring classifiers
+ gbm Generalized Boosted Regression Models
+ party A Laboratory for Recursive Partitioning
+ arules Mining Association Rules and Frequent Itemsets
+ tree Classification and regression trees
+ klaR Classification and visualization
+ ipred Improved Predictors
+ lars Least Angle Regression, Lasso and Forward Stagewise
+ earth Multivariate Adaptive Regression Spline Models
+ CORElearn Classification, regression, feature evaluation and ordinal evaluation
+ mboost Model-Based Boosting
+ igraph A collection of network analysis tools