WEKA
WEKA is a set of powerful data mining tools that run on Java.
WEKA Alternatives
The best WEKA alternatives based on verified products, community votes, reviews and other factors.
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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No-Code Machine Learning accessible to anyone who loves data!
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NumPy is the fundamental package for scientific computing with Python
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OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...
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Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
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Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
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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.
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Figure Eight is the essential Human-in-the-Loop Machine Learning platform.
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GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.
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RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
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The DimML programming language enables users to run any data solution on any website with only a single line of code.
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Logical Glue helps Lenders and Insurance organisations make better decisions with a highly intuitive and user-friendly Machine Learning Platform.
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DataScience combines human intellect with machine-powered analysis to create actionable insights from complex data.
Generic WEKA discussion
WEKA Reviews
External sources with reviews and comparisons of WEKA
Categories: Data Science And Machine Learning, Data Science Tools, Python Tools

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Exploratory v6.5.1 Released!