Top naive-bayes open source projects

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

General Assembly's 2015 Data Science course in Washington, DC

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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python java r Jupyter Notebook HTML CSS deep-learning machine-learning data-science gpu spark opensource big-data distributed hadoop automl random-forest multi-threading ensemble-learning pca h2o naive-bayes gbm

idnaive

🧠 A Simple Node.js Naive Bayes Library.

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javascript naive-bayes multi-language hacktoberfest stemming

ml

经典机器学习算法的极简实现

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python machine-learning log algorithms numpy svm naive-bayes pca logistic-regression perceptron kmeans adaboost lda gmm knn decision-tree

Amazon-Fine-Food-Review

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

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Jupyter Notebook random-forest svm naive-bayes logistic-regression machinelearning decision-trees knn tsne kmeans-clustering truncated-svd amazonfinefoodreviews

sjm

Sancho McCann's PhD Thesis Research Code

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C++python Protocol Buffer c research computer-vision naive-bayes nbnn spatial-pyramid

machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…