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Stanford Classifier

Stanford Classifier is a machine learning tool that will take data items and place them into one of k classes it can also give a probability distribution over the class assignment for a data item.

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Stanford Classifier Alternatives

The best Stanford Classifier alternatives based on verified products, votes, reviews and other factors.
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  1. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

  3. NumPy is the fundamental package for scientific computing with Python

  4. OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

  5. Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

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

  7. 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.

  8. Figure Eight is the essential Human-in-the-Loop Machine Learning platform.

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

  10. GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.

  11. The DimML programming language enables users to run any data solution on any website with only a single line of code.

  12. Logical Glue helps Lenders and Insurance organisations make better decisions with a highly intuitive and user-friendly Machine Learning Platform.

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This article was published on | Author: | Publisher: SaaSHub
Categories: Data Science And Machine Learning, Data Dashboard, Data Science Tools