Showing 4 open source projects for "regression"

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  • 1
    ...JARI provides a set of analysis tools for the Analyse stage – Descriptive statistics (Mean, Median, …), Inferential Statistics( T.Tests, ANOVA, non-parametic Tests), Correlation Analysis, and Regression Analysis. For the Interpret Stage, JARI allows you to put in saved results and write rmarkdown report and slides for Rpubs. You will need .net runtime 10.0 https://versionsof.net/core/10.0/10.0.0/ For the moment, download: https://www.egmhacademy.com/download/JARI.exe Source codes is in the src
    Downloads: 0 This Week
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  • 2
    DSTK - Data Science TooKit 3

    DSTK - Data Science TooKit 3

    Data and Text Mining Software for Everyone

    DSTK - Data Science Toolkit 3 is a set of data and text mining softwares, following the CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and algorithms. It is based on the old version DSTK at https://sourceforge.net/projects/dstk2/ DSTK Engine is like R. DSTK ScriptWriter offers GUI to write DSTK script. DSTK Studio offers SPSS Statistics like GUI...
    Downloads: 0 This Week
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  • 3
    Accord.NET Framework

    Accord.NET Framework

    Machine learning, computer vision, statistics and computing for .NET

    The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. The Accord.NET project provides...
    Downloads: 1 This Week
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  • 4
    Accord.NET Framework

    Accord.NET Framework

    Scientific computing, machine learning and computer vision for .NET

    The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.
    Downloads: 1 This Week
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