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ID3-based implementation of the ML Decision Tree algorithm

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

Small JavaScript implementation of ID3 Decision tree

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

NodeJS Implementation of Decision Tree using ID3 Algorithm

JavaScript Implementation of the ID3 Decision Tree algorithm with some basic visualization

My implementation of Decision Tree ID3 algorithm for all categorical attributes.

A text classifier based on Decision Trees ID3, Naive Bayes and KNN algorithm in C++ and JAVA.

Python implementation of Decision trees using ID3 algorithm

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