Test of the drift classifiers implemented in MOA
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Updated
Oct 28, 2020 - Java
Test of the drift classifiers implemented in MOA
Repositório para as atividades desenvolvidas na matéria de Inteligência Computacional, do curso de Engenharia de Computação da Universidade Estadual de Ponta Grossa
Ejercicios, prácticas y experimentos derivados de la clase de reconocimiento de patrones.
Java framework for a classification algorithm
Sampling-based class imbalance solutions for multiple-instance classification
Small library for classification and clustering in Java
An Android Activity Recognition app, able to catch action as run, walking, standing, sweeping, vacooming etc.. Read the wiki for other info
Projeto para ser executado no Apache Spark e que aplica diversos modelos de classificação na base de dados compartilhada pelo governo da Argentina sobre os casos de COVID-19.
Prototype based classification algorithm for multiple-instance data
This project predicts community evolution in social networks
A project for my database design class. The goal is to parse a thousand patents from JSON, enter the patents into a database using jdbc and rank their relevance using some Naive Bayes. Some of the classifying code provided by our prof, Dr. Ward.
Machine learning library. Quadratic discrimant analysis, Gaussian Naive Bayes, KNN, Perceptron.
A data visualization application for machine learning algorithms
Personal project : web application determines political bias of entered quotes. Trained on 10000 politicized Reddit quotes and further fueled from continually ingested news articles. See preview.mov / preview.png
Project for: A Novel Method for Unsupervised and Supervised Conversational Message Thread Detection
A mail labelling system
Simple kNN and NaiveBayes classifier implementation
This is a java project focused on Data Mining which contains Normalizing Data and for the Classification Algorithms, I include the Association Rule and Decision Tree (ID3).
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