Displaying 1 to 9 from 9 results

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-algorithmA 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 classifierlapis-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 moonscriptA Naive Bayes text classification implementation as an OmniCat classifier strategy. See rdoc for detailed usage.

naive-bayes-classifier text-classification sentiment-analysis tokenizer stopwordsBayes 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-classifierThe 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 gbdtSwiftNaiveBayes is same as Scikit learn's interface.

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