ID3 Decision Tree algorithm
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Updated
May 17, 2014 - Python
ID3 Decision Tree algorithm
This project is my under-graduation final year thesis project.
An implementation of the ID3 Decision tree algorithm.
Distributed Decision Tree Induction using MPI
The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the gender of someone given a novel set of body metrics.
Linear Discriminant Tree in jupyter notebook
MasterThesis on Congestion Detection in SDN networks using Machine Learning
Various Machine Learning algorithms implemented from scratch
QUEST is proposed by Loh and Shih (1997), and stands for Quick, Unbiased, Efficient, Statistical Tree. It is a tree-structured classification algorithm that yields a binary decision tree. A comparison study of QUEST and other algorithms was conducted by Lim et al (2000).
read my blog @ https://towardsdatascience.com/decision-tree-data-scientists-magic-bullet-for-hamletian-dilemma-411e0121ba1e
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My own quick and basic implementations for Machine Learning Decision Tree classifier algorithm!
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This checks out data provided by the Kepler space telescope to study exoplanets.
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