GitHub topics: id3-algorithm
souravrane/Machine-Learning-Programs-VTU-7th-sem
Language: Jupyter Notebook - Size: 146 KB - Last synced at: about 2 years ago - Pushed at: over 6 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: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

mmacoveiciuc/ENSC251_Assignments
Assignments for my Software Design and Analysis course
Language: C++ - Size: 24.4 KB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Nir-J/Decision_tree_ID3
Python and NumPy implementation of ID3 algorithm for decision tree.
Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

aditya5558/ID3-Decison-tree
An implementation of the ID3 Decision tree algorithm.
Language: C++ - Size: 13.7 KB - Last synced at: 4 months ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

dayeonhwang/id3DecisionTree
Language: Python - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

Juangmar/AI_Algorithms
Repositorio usado para almacenar las prácticas de la asignatura Ingeniería del Conocimiento,
Language: Java - Size: 2.37 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

MrYawe/forage_tp1
Language: Java - Size: 24.8 MB - Last synced at: 1 day ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Manish-rai21bit/DAMLASB-Assignments
Assignments, Try, and Solutions for Data Analysis and Machine Learning at Scale Course by Prof. James Shanahan
Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

Mital188/Decision-Tree
implements ID3 algorithm which would calculate the entropy and information gain and based on these values, the attributes are selected. These acquired information is used to create the decision tree. The entropy and hence the information gain is calculated using the training data. Pruning is carried out using the validation data.
Language: Java - Size: 96.7 KB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0
