SVM using HOG descriptors implemented in fragment shaders
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Updated
Jun 21, 2021 - GLSL
SVM using HOG descriptors implemented in fragment shaders
An ML-based classification method to classify the traffic and intrusions in a network which improves the overall performance of the network system.
A cross-platform AR Visualizer utilizing a Radial-kernel-trained Support Vector Machine (SVM) model to generate interactive 3D model to understand machine learning concepts
This repository is an analysis of the classification of sentiment reviews from users of the marketplace application, where the word weighting methods used are TFIDF and Word2Vec. Meanwhile, the classification method used is Support Vector Machine (SVM). There are two kernels used in this analysis, namely the kernel Linear and the kernel Radial B…
Genre Identification task along with Text Analytics with Multi-Class and Imbalanced Learning on Gutenberg Corpus
Predicting breast cancer survival using machine learning models
Assignments
Topic: Data Analysis with Voice Dataset for Gender Recognition // Summary: Explored algorithms and found the best model that showed a 98.2% classification accuracy for a voice dataset
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