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.
evaluate-classifiers is a script that trains and evaluates profile attribute classifiers.
Based on book by peter Harrington for ML. Coded in Python.
Exercise on Decision Trees and Random Forests
Decision Tree Project for Artificial Inteligence Discipline at UFRPE 2017
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Crime prediction
Git horende bij de cursus internetapplicaties
Analisi di Decision Tree e Random Forest nel predire se il salario di uno sviluppatore è sopra o sotto la mediana. Il dataset considerato è: Stack Overflow Developer Survey, 2017.
machine learning
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Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent for optimization in Python
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Supervised Learning: Decision Tree Algorithm
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