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Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.

  • Updated Jul 29, 2024
  • Java

Machine Learning Models trained on Scikit-learn datasets. This repository contains the code files and saved models trained on Toy datasets (Classification & Regression), and Real World dataset.

  • Updated Jul 29, 2024
  • Jupyter Notebook

The goal was to accurately estimate the value of real estate and uncover relevant factors that directly influence property prices. The study used two different models, multiple linear regression and k-Nearest Neighbours (kNN), to predict housing prices.

  • Updated Jul 29, 2024
  • Jupyter Notebook

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