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Naive Bayesian Classifer in APL Status Details

Naive Bayesian Classifer in APL is a simple naive bayesian classifier to gain independent probabilistic assumptions on test input.
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Naive Bayesian Classifer in APL's website is at github.com
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Naive Bayesian Classifer in APL Alternatives

  1. /htm-java-alternatives

    htm.java

    ↔ Naive Bayesian Classifer in APL

    htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

  2. /scikit-learn-alternatives

    Scikit-learn

    ↔ Naive Bayesian Classifer in APL

    scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

    Open Source

  3. /pandas-alternatives

    Pandas

    ↔ Naive Bayesian Classifer in APL

    Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

    Open Source

  4. /numpy-alternatives

    NumPy

    ↔ Naive Bayesian Classifer in APL

    NumPy is the fundamental package for scientific computing with Python

    Open Source

  5. /opencv-alternatives

    OpenCV

    ↔ Naive Bayesian Classifer in APL

    OpenCV is the world's biggest computer vision library

    Open Source

  6. /weka-alternatives

    WEKA

    ↔ Naive Bayesian Classifer in APL

    WEKA is a set of powerful data mining tools that run on Java.

  7. /exploratory-alternatives

    Exploratory

    ↔ Naive Bayesian Classifer in APL

    Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.


» All Naive Bayesian Classifer in APL alternatives

Related status pages

htm.java status · Scikit-learn status · Pandas status · NumPy status · OpenCV status · WEKA status · Exploratory status ·

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