ID3 is a Machine Learning Decision Tree Algorithm that uses two methods to build the model. The two methods are Information Gain and Gini Index.

Machine learning models to predict a patient's diagnosis based on features selected from a dataset

Machine learning binary classification algorithms for classifying mails as spam or ham.

This repository contains a simple implementation of the ID3 decision tree learning algorithm in Python. The ID3 algorithm is a popular machine learning algorithm used for building decision trees based on given data.

Decision Trees - ID3 [Artificial Intelligence Course Project]

Python solutions for Introduction to AI laboratory exercises.

ID3 Decision Tree based on iris.data

A Python GUI project to compute the results of Data Mining Classification Algorithms: Naive Bayes & ID3 Decision Tree.

Assignments for CS760

myID3 and myC45 modules implementation (Tubes1B), myMLP module implementation with mini-batch gradient descent (Tubes1C) and 10-fold cross validation scheme implementation (Tubes1D)

generate an ID3 decision tree using the UCI Iris and Breast Cancer datasets