Collection of code covering various topics in Machine Learning
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Updated
Dec 16, 2017 - Jupyter Notebook
Collection of code covering various topics in Machine Learning
A Decision Tree Classifier with GA based feature selection.
evaluate-classifiers is a script that trains and evaluates profile attribute classifiers.
A Person Of Interest Identifier Model, for the Enron Fraud Case, based on various Machine Learning Concepts.
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
Full implementation of decision Tree Classifier of arXiv abstracts into subject.
ID3 Decision Tree based on iris.data
Cost-complexity pruning of random forests
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
Implementation of decision trees in Java.
Beer Wine Classification by Machine Learning based on alcoholic content and color
Implementation of various ML Algorithms
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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