dmmiller612/Machine_Learning_Spring_Weka
Weka with spring example
This project provides pre-built machine learning models and an API to analyze structured datasets like car evaluations and census data. You can feed in your own tabular data in ARFF or CSV format and get classification or clustering results back. It's designed for data analysts, researchers, or students who need to experiment with different machine learning algorithms and parameters.
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Use this if you need to quickly apply and compare various classification (Decision Trees, KNN, Neural Networks, SVM) and clustering (K-Means, EM) algorithms to your tabular data and evaluate their performance.
Not ideal if you're working with unstructured data like images, text, or time series, or if you need to build and train entirely new custom models from scratch.
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Language
Java
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Last pushed
Sep 19, 2017
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