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Data and code for the Dataists R recommendation system contest
R Ruby Perl
Branch: master
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cran Code and data for the Dataists recommendation system contest
data Added topic model data and analysis code
lib Fixed preprocessing script
.gitignore Added topic model data and analysis code
README.markdown Revised documentation
example_model.R Since installations file isn't present, use try() to load data.
example_model_2.R Revised benchmark model.
example_model_3.R Added topic model data and analysis code
extract_graphs.R Code and data for the Dataists recommendation system contest
get_documents.rb
get_maintainers.R Code and data for the Dataists recommendation system contest
get_packages.R Code and data for the Dataists recommendation system contest
get_views.rb Code and data for the Dataists recommendation system contest
install_packages.R Code and data for the Dataists recommendation system contest
model_assessment.R
topic_models.R Added topic model data and analysis code

README.markdown

Introduction

For information about this contest, please see the official Kaggle.com contest website or the official contest announcement on Dataists.com.

Getting Started

To start working on this contest, simply download/clone this repository and run the example_model.R script in an R interpreter to see the model how our baseline model works. After that, you can start trying to build a model that makes better predictions on the data/training_data.csv data set than our example model.

Please Note

The data/installations.csv file is now available, as is the data/test_data.csv file. Obviously, the values of the variable Installed are NA in both of these data sets.

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