# Top 20 R Machine Learning and Data Science packages

We list out the top 20 popular Machine Learning R packages by analysing the most downloaded R packages from Jan-May 2015.

The CRAN Package repository features 6778 active packages. Which of these should you know? Here is an analysis. See also link to the raw data at the bottom of the post.

Most of these R packages are favorites of Kagglers, endorsed by many authors, rated based on one package's dependency on other packages. They are also rated & reviewed by users as a crowdsourced solution by Crantastic.org. However, these user ratings are too few to be based on for analysis.

Let us explore how many machine learning packages are being downloaded from Jan to May by analysing CRAN daily downloads.

Did we miss your favorites? Light up this space and contribute to the community by letting us know which R packages you use!!

For completeness, here is data on 135 R package downloads, from Jan to May 2015.

Most of these R packages are favorites of Kagglers, endorsed by many authors, rated based on one package's dependency on other packages. They are also rated & reviewed by users as a crowdsourced solution by Crantastic.org. However, these user ratings are too few to be based on for analysis.

Let us explore how many machine learning packages are being downloaded from Jan to May by analysing CRAN daily downloads.

**e1071**Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier etc*(142479 downloads)*

**rpart**Recursive Partitioning and Regression Trees. (135390)**igraph**A collection of network analysis tools. (122930)**nnet**Feed-forward Neural Networks and Multinomial Log-Linear Models. (108298)**randomForest**Breiman and Cutler's random forests for classification and regression. (105375)**caret**package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models. (87151)**kernlab**Kernel-based Machine Learning Lab. (62064)**glmnet**Lasso and elastic-net regularized generalized linear models. (56948)**ROCR**Visualizing the performance of scoring classifiers. (51323)**gbm**Generalized Boosted Regression Models. (44760)**party**A Laboratory for Recursive Partitioning. (43290)**arules**Mining Association Rules and Frequent Itemsets. (39654)**tree**Classification and regression trees. (27882)**klaR**Classification and visualization. (27828)**RWeka**R/Weka interface. (26973)**ipred**Improved Predictors. (22358)**lars**Least Angle Regression, Lasso and Forward Stagewise. (19691)**earth**Multivariate Adaptive Regression Spline Models. (15901)**CORElearn**Classification, regression, feature evaluation and ordinal evaluation. (13856)**mboost**Model-Based Boosting. (13078)

Did we miss your favorites? Light up this space and contribute to the community by letting us know which R packages you use!!

For completeness, here is data on 135 R package downloads, from Jan to May 2015.

**Bio:** **Bhavya Geethika** is pursuing a masters in Management Information Systems at University of Illinois at Chicago. Her areas of interests include Statistics & Data Mining for Business, Machine learning and Data-Driven Marketing.

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