100 Days of ML Coding
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100 Days of ML Coding
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.
A Naive Bayes machine learning implementation in Elixir.
Ruby Scoring API for PMML
Simple Naive Bayes classifier
Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)
An implementation of Naive-Bayes predictor in ActionScript 3.0 for AI bot/agent in a video games.