Machine-Learning-with-Python - Python codes for common Machine Learning Algorithms

•    Jupyter

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Python codes for common Machine Learning Algorithms

linear-regression polynomial-regression logistic-regression decision-trees random-forest svm svr knn-classification naive-bayes-classifier kmeans-clustering hierarchical-clustering pca lda xgboost-algorithm

simple_bayes - A Naive Bayes machine learning implementation in Elixir.

•    Elixir

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A Naive Bayes machine learning implementation in Elixir. In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features.

naive-bayes-classifier bayes machine-learning classifier

naivebayes - Naive Bayes Classifier for node.js

•    Javascript

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Naive Bayes Classifier for node.js.

bayes naive-bayes-classifier naive-bayes naive-bayes-algorithm naivebayes naive machine-learning machine-learning-algorithms classifier node-ml nodejs javascript-library naive-bayes-classification

lapis-bayes - Naive Bayes classifier for use in Lua

•    Lua

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lapis-bayes is a Naive Bayes classifier for use in Lua. It can be used to classify text into any category that has been trained for ahead of time. It's built on top of Lapis, but can be used as a standalone library as well. It requires PostgreSQL to store and parse training data.

lapis naive-bayes-classifier classifier moonscript

omnicat-bayes - Naive Bayes text classification implementation as an OmniCat classifier strategy

•    Ruby

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A Naive Bayes text classification implementation as an OmniCat classifier strategy. See rdoc for detailed usage.

naive-bayes-classifier text-classification sentiment-analysis tokenizer stopwords

Bayes - Naive Bayes Classifier in Swift for Mac and iOS

•    Swift

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Bayes is a Naive Bayes Classifier for iOS and Mac platforms. Bayes is implemented in Swift and takes advantage of generics to enable any Hashable, Equatable type of your choosing or creation for use as category or feature.

bayes naive-bayes-classifier

machine_learning - machine learning applied to NLP without deep learning

•    Python

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The purpose of this respository is use machine learning to solve NLP problem without involving deep learning releted technology. So only traditional machine learning methods will be used here. It will include Naive Bayes, Decision Tree, Random Forest,GBDT and so on. We will first use Naive Bayes to do binary classification, which is to classify a sentence releted to be a 'theft' or not.

naive-bayes-classifier decision-trees gbdt

SwiftNaiveBayes - Naive Bayes classifier implemented in Swift

•    Swift

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SwiftNaiveBayes is same as Scikit learn's interface.

swift-library swift-language carthage cocoapods naivebayes naive-bayes-classifier machine-learning machine-learning-algorithms swift-3

GaussianNB - Gaussian Naive Bayes (GaussianNB) classifier

•    Python

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Simple Gaussian Naive Bayes classifier implementation. It also implements 5-fold cross-validation. Compared performance with Zero-R algorithm.

machine-learning ml naive-bayes-classifier gaussian naive-bayes naive-bayes-algorithm