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A MATLAB implementation of the ID3 decision tree algorithm for EECS349 - Machine Learning

My machine learning algortihms implementations. Currently decision tree, and linear/logistic regression.

Python Implementation of the Machine Learning Decision Tree Algorithm for Classification problems.

Top-down induction of first-order logical decision trees: master AI thesis implementation

Decision trees using CART implementation

Decision tree and Random forest implementation in nim

obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.

Python package for analysing data using machine learning techniques. Provides implementations of different kinds of decision trees and random forests in order to solve classification problems.

sklearn-compatible PyTorch implementations of Soft Decision Trees, HMoE, and classifier comparison tests (5×2cv F-test). pip install neural-trees

✨Machine Learning & Data Analysis project predicting BMI, Stress Level, and clustering health-related features using Python. Implements Regression, Classification (Logistic, KNN, Decision Tree, Random Forest, SVM, Naive Bayes), K-Means & Hierarchical Clustering, with visualizations in Matplotlib ... Read more