GitHub / sakbarpu / TraditionalClassifiers

This repository implements the basic machine learning classifiers for the problem of Yelp reviews classification. We assume the problem to be a binary classification problem. The models implemented are Naive Bayes, Logistic Regression, Support Vector Machine (linear), Decision Trees, Bagged Decision Trees, Random Fforests, and Boosted Decision Trees.

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Topics: bagged-forests, boosted-trees, decision-trees, logistic-regression, naive-bayes, naive-bayes-algorithm, naive-bayes-classification, naive-bayes-classifier, pca, principal-component-analysis, random-forest, support-vector-machine, support-vector-machines, tsne

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