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A machine learning framework for Node.js. Supports multi-level classification and online learning.
- classifier
- classification
- categorization
- text classification
- natural lanaguage understanding
- machine learning
- multi label
- multilabel
- multi class
- multiclass
- online learning
- naive bayes
- winnow
- perceptron
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Automated machine learning structure. Ensembles random forests, XGBoost, neural networks, AdaBoost, KNN, SVM together, handling data formatting ensembling, and running predictions for you. Feel free to tweak the settings if you want a lot of control, or j
- neuralNet
- neural network
- machine learning
- ml
- algorithms
- random forest
- svm
- naive bayes
- bagging
- optimization
- data science
- brainjs
- date night
- scikit-learn
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NLP (natural language processing) for server and the browser in TypeScript. All lightweight and super-fast.
- nlp
- natural language processing
- sentiment analysis
- word vector
- text classification
- tokenization
- naive bayes
- english
- portuguese
Naive Bayes Machine Learning algorithms implemented on JS
A Machine Learning package for Q2 Strategies implementing various generic algorithms
- machine-learning
- javascript
- neural network
- clustering
- naive bayes
- decision trees
- random forest
- principle component
- node
- data science
- data analysis
Naive Bayes classifier that also uses continuous variables and log scale.
Naive Bayes implemented in bash.
Train machine learning models in pure Javascript using battle-tested implementations that improve on Python's sklearn and R's caret.
- machine learning
- ml
- ai
- npm
- module
- node
- javascript
- data science
- random forest
- decision tree
- cart
- linear regression
- linear classifier
- stochastic gradient descent
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