Editing KDD Competition 2010
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==Resources== | ==Resources== | ||
* [https://pslcdatashop.web.cmu.edu/KDDCup/rules_data_format.jsp KDD Rules and Data Format] | * [https://pslcdatashop.web.cmu.edu/KDDCup/rules_data_format.jsp KDD Rules and Data Format] | ||
* [http://cran.r-project.org/ R language] | * [http://cran.r-project.org/ R language] | ||
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* [https://www.noisebridge.net/mailman/listinfo/ml Our mailing list] | * [https://www.noisebridge.net/mailman/listinfo/ml Our mailing list] | ||
* [http://www.s3fox.net/ S3Fox] | * [http://www.s3fox.net/ S3Fox] | ||
* [[Machine_Learning/ | |||
* [[Machine_Learning/ | |||
* | ==TODOs== | ||
* Vikram -- will create a guide for Mahout setup | |||
* Thomas -- will get libsvm working on the data and put together a "how to" guide for doing so | |||
** put together a [[Machine_Learning/kdd_sample | perl script]] which will take random samples from the data, for working on smaller instances | |||
** put together a [[Machine_Learning/kdd_r | simple R script]] for loading the data | |||
* Andy -- | |||
* Erin -- Will put meeting notes of 5/19 on https://www.noisebridge.net/wiki/Machine_Learning; will work on data transformations and ways to create better representations of the data; will provide the orthogonalized data sets | |||
== Notes == | == Notes == | ||
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== How to run Weka (quick 'n | == How to run Weka (quick 'n dirty tutorial) == | ||
* Download and install Weka | * Download and install Weka | ||
* Get your KDD data & preprocess your data: | * Get your KDD data & preprocess your data: | ||
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* [http://swarmfinancial.com/screencasts/nb/kddWekaUsage1.swf Screencast1] | * [http://swarmfinancial.com/screencasts/nb/kddWekaUsage1.swf Screencast1] | ||
* [http://swarmfinancial.com/screencasts/nb/kddWekaUsage2.swf Screencast2] | * [http://swarmfinancial.com/screencasts/nb/kddWekaUsage2.swf Screencast2] | ||
== How to run libSVM == | == How to run libSVM == | ||
* See the notes at [[Machine Learning/SVM]] | * See the notes at [[Machine Learning/SVM]] | ||