Showing 7 open source projects for "machine learning regression"

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  • 1

    PyDaMelo

    Python-compatible Data mining elementary objects

    An attempt at offering machine learning and data mining algorithms at the finest grain we are able to, easy to combine together through Python scripting to glue together the Lego-like bricks.
    Downloads: 0 This Week
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  • 2
    feed4weka is an open library that enriches weka (http://www.cs.waikato.ac.nz/ml/weka/), an open source project for data analysis. It integrates new classification and clustering algorithms, and adds the coclustering and outlier detection frameworks
    Downloads: 1 This Week
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  • 3
    SAIM allows to interlink knowledge bases in the Semantic Web. It focuses on instance matching of very large knowledge bases available as SPARQL endpoints. SAIM uses machine learning techniques and is compatible with SILK.
    Downloads: 0 This Week
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  • 4
    This project aims to develop a method to identify communities in a social network according to some point of view.
    Downloads: 0 This Week
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  • 5
    Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.
    Downloads: 0 This Week
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  • 6
    BCAR is a library for the associative classification, which denotes "Boosting Class Association Rules". BCAR provides a general tool for classification tasks with various types of input data.
    Downloads: 0 This Week
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  • 7
    Blunder is an automated tool for analyzing chained exceptions in Java. It's usefull for classify, generate a customized error message and a list for possible solutions.
    Downloads: 0 This Week
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