GitHub topics: decision-tree-id3
milaan9/Python_Decision_Tree_and_Random_Forest
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.
Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 261 - Forks: 203

nightspite/id3-c45-classifier
Simple implementation of the ID3 + C4.5 algorithm for decision tree learning
Language: Python - Size: 46.8 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

aayush301/Machine-learning-lab
This repository contains several ML algorithms wriiten from scratch that are covered in ML lab.
Language: Jupyter Notebook - Size: 237 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

stressGC/Python-ID3-Charvat-Harvat-Entropy
Python implementation of the ID3 algorithm, customed with the Charvat & Harvat entropy
Language: Python - Size: 7.05 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1
