Showing 3 open source projects for "support vector machine classifier"

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  • 1
    EEG Seizure Prediction

    EEG Seizure Prediction

    Seizure prediction from EEG data using machine learning

    The Kaggle-EEG project is a machine learning solution developed for seizure prediction from EEG data, achieving 3rd place in the Kaggle/University of Melbourne Seizure Prediction competition. The repository processes EEG data to predict seizures by training machine learning models, specifically using SVM (Support Vector Machine) and RUS Boosted Tree ensemble models.
    Downloads: 0 This Week
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  • 2

    lonestar

    A feature selection and classification algorithm based on L1 Norm SVM

    A feature selection and classification algorithm. It is based on L1 Norm Support Vector Machine with t-test and Recursive Feature Elimination.
    Downloads: 1 This Week
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  • 3
    Stanford Machine Learning Course

    Stanford Machine Learning Course

    machine learning course programming exercise

    The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems.
    Downloads: 2 This Week
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