c++ incremental decision tree
Weka Explorer in your browser: 25 classifiers matching Weka 3.8.7, clustering, association rules, attribute selection, visualization and PDF reports in plain HTML/CSS/JS. Plus responsible web-data import and a bilingual EN/EL AI assistant with on-device models (Needle 2, Whistle, MobileCLIP).
This project builds a machine learning pipeline to detect Chemical-Induced Disease (CID) relationships in biomedical literature. It processes BioC XML documents, extracts key linguistic and statistical features, and applies classification models to identify potential CID relations.
Apply machine-learning models on mushroom data to predict if a mushroom is edible or not
Data mining on Indian Liver Patient Dataset
Customer churn analysis and classification using WEKA, J48 Decision Tree and Naive Bayes.
Simple web app that uses DSS to recommend crops for planting.
Software Developed for Machine Learning discipline of the Computer Science Course at UNISUL
API de detecção de fraude bancária com Spring Boot e Machine Learning, simulando análise inteligente de transações financeiras.
A simple responsive web app to diagnose the patient for a possible heart disorder, using Weka & Vanilla JavaScript
Java-based data mining project leveraging Weka and SPMF to implement association rule mining, predictive modeling, and text classification.
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