With Spark, you can associate column names and scores with which feature are important in Decision Tree training results

Implementation of Decision Tree using two heuristics for Assignment 01 of the course CS6375: Machine Learning.

Individual project on Decision Trees for the Curricular Unit of "Artificial Intelligence" @ FCUP, Porto

The aim of this project was take a brief journey to the world of Artificial Intelligence by exploring how a search algorithm searches a decision tree.

A Java implementation of Decision Trees and Random Forests.

Programs written for assignments in CS 540: Introduction to Artificial Intelligence, at University of Wisconsin-Madison, Fall 2015

This was done as a project in machine learning course in Birzeit University

DATA mining project for extracting association rules using a hash tree, given the minimal confidence, and maximal number of rules, it only works with the database embedded in it.

Alpha–Beta Pruning Implementation for Optimal Decision-Making

SiMI imputes numerical and categorical missing values by making an educated guess based on records that are similar to the record having a missing value. Using the similarity and correlations, missing values are then imputed. To achieve a higher quality of imputation some segments are merged together using a novel approach.

Import a csv that follows the format provided by the 2 test sets and you will get an optimized question flow to return a Yes/No answer. This is an implementation of the ID3 Algorithm.

This repository contains all the assignments that I completed for AI. It includes ILS, Tabu Search, Genetic Algorithms, Genetic Programming, Ant Colony Optimization and Decision Trees

Adaptive Decision Forest(ADF) is an incremental machine learning framework called to produce a decision forest to classify new records. ADF is capable to classify new records even if they are associated with previously unseen classes. ADF also is capable of identifying and handling concept drift; it, however, does not forget previously gained kn…

A Java Project : Decision Tree

Yet another decision tree core engine based on Neo4j Graph Database | Inspired and inherited from Max De Marzi solution

Implement Genetic Algorithm and Decision Tree

Implementing a decision tree data type for text classification.