ID3 Decision Tree algorithm
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Updated
May 17, 2014 - Python
ID3 Decision Tree algorithm
Genetic AI for Poker Squares
Application of Decision Tree C5.0, Random Forest, K-NN, Artificial Neural Network, Naive-Bayes algorithms in a Project using R
Random Forest for multiclass problems in python
Simple scripts for computing information gains of attributes in a training table.
Practical ML model implementation using Ruby and Python
Decision Tree for a few different problems - same as this http://scikit-learn.org/stable/auto_examples/plot_multioutput_face_completion.html
This script compares the accuracy of both KNN and Decision Tree and visualizes the same.
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Contains usage of scikit-learn libraries of Decision Trees, Neural Networks, Adaboost, KNN and SVM using scikit-learn. Two datasets Normalized MNIST and Amazon Reviews dataset are used.
A collection of Supervised Machine Learning algorithms in Ruby
ID3 decision tree implementation
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A machine learning script that uses KNN, Naive Bayes, Decision Trees, and Random Forests classification algorithms to predict a person's salary.
Machine Learning: Decision Tree
Project on Non Intrusive Load Monitoring (NILM) in IoT course during Even Semester (2016-17) under guidance of Dr. Kumar Padmanabh at The LNMIIT, Jaipur.
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