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  • 1
    pandas

    pandas

    Fast, flexible and powerful Python data analysis toolkit

    pandas is a Python data analysis library that provides high-performance, user friendly data structures and data analysis tools for the Python programming language. It enables you to carry out entire data analysis workflows in Python without having to switch to a more domain specific language. With pandas, performance, productivity and collaboration in doing data analysis in Python can significantly increase. pandas is continuously being developed to be a fundamental high-level building...
    Downloads: 53 This Week
    Last Update:
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  • 2

    Random Bits Forest

    RBF: a Strong Classifier/Regressor for Big Data

    ...These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data with large size.
    Downloads: 0 This Week
    Last Update:
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  • 3

    iOVFDT

    iOVFDT algorithm of incremental decision tree

    ...Inheriting the use of Hoeffding bound in VFDT algorithm for node-splitting check, it contains four optional strategies of functional tree leaf, which improve the classifying accuracy. In addition, a multi-objective incremental optimization mechanism investigates a balance among accuracy, mode size and learning speed...
    Downloads: 0 This Week
    Last Update:
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