A Decision Tree Classifier with GA based feature selection.
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Updated
May 1, 2014 - TeX
A Decision Tree Classifier with GA based feature selection.
ID3 Decision Tree algorithm
ID3 (Decision Tree) implemented in Python, takes dataset as input txt file
An implementation of an ID3 Machine Learning algorithm for classification of customers and products.
Steve525 implementation modified version.
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.
An implementation of the ID3 Decision tree algorithm.
Assignments, Try, and Solutions for Data Analysis and Machine Learning at Scale Course by Prof. James Shanahan
ID3 Decision Tree Classifier for Machine Learning along with Reduced Error Pruning and Random Forest to avoid overfitting
A Perfect based solution for Decision Tree in Server Side Swift
My implementation of homework 1 for the Introduction to Machine Learning class in NCTU (course number 1181).
Python code base which predicts if a candidate will win the election using basic machine learning classification algorithms.
Binary decision tree classifier using the ID3 algorithm
Machine learning algorithm implementations
Data Mining Algorithms with C# using LINQ
Implementing decision tree using ID3 algorithm based on Information Gain and using post pruning for improving accuracy
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