decision-stumps

There are 0 repository under decision-stumps topic.

StarlangSoftware / Classification-Py
Machine learning library for classification tasks
decision-tree-classifier dataset-manager autoencoder-classification bagging-trees decision-stumps multilayer-perceptron-network deep-neural-networks rocchio-algorithm classification-algorithm linear-discriminant-analysis multilayer-perceptron naive-bayes-classifier quadratic-discriminant-analysis random-forest-classifier feature-selection subset-selection pca statistical-tests
Language:Python 11
Donny-Hikari / AdaBoost
A simplified implement of Adaptive boosting.
adaboost boosting decision-stumps ensemble-learning machine-learning
Language:Python 6
StarlangSoftware / Classification
Machine learning library for classification tasks
decision-tree-classifier dataset-manager autoencoder-classification bagging-trees decision-stumps multilayer-perceptron-network deep-neural-networks rocchio-algorithm knn-algorithm classification-algorithms linear-discriminant-analysis multilayer-perceptron naive-bayes-classifier quadratic-discriminant-analysis random-forest-classifier support-vector-machine-svm feature-selection subset-selection pca statistical-tests
Language:Java 4
StarlangSoftware / Classification-CPP
Machine learning library for classification tasks
decision-tree-classifier dataset-manager autoencoder-classification bagging-trees decision-stumps multilayer-perceptron-network deep-neural-networks rocchio-algorithm classification-algorithms knn-algorithm linear-discriminant-analysis multilayer-perceptron naive-bayes-classifier quadratic-discriminant-analysis random-forest-classifier support-vector-machine-svm feature-selection subset-selection pca statistical-tests
Language:C++ 3
lowhung / decision-trees-KNN
Implementations of decision trees, decision stumps, data visualization and k-nearest neighbours algorithms
decision-trees random-forest k-medians k-nearest-neighbours decision-stumps
Language:Python 2
kharelbikash / Boosted-Decision-Stumps
Boosting algorithm(Machine learning) on Decision stumps(Decision tree with one split).
boosting-algorithms boosted-trees decision-trees decision-stumps data-analysis machine-learning-algorithms r
Language:R 1
Laciniata / AdaBoost
Assignment for the "Machine Learning" course of the Department of Control Science and Engineering, Tongji University.
machine-learning adaboost decision-stumps assignment tongji-university
Language:Python 0
PallaviLV / Machine-Learning
This Repo has CSCI 567 Machine Learning coursework
machine-learning-algorithms linear-regression perceptron knearest-neighbor-algorithm multilayer-perceptron neural-network convolutional-neural-networks logistic-regression multiclass-classification boosting decision-tree pegasos support-vector-machines decision-stumps adaboost logitboost
Language:Jupyter Notebook 0
MK-ek11 / Implement-AdaBoost
Write a code to implement AdaBoost algorithm using decision stump to learn strong classifier
adaboost-learning boosting-algorithms classifier data-mining decision-stumps decision-tree-classifier numpy pandas
Language:Python
StarlangSoftware / Classification-CS
Machine learning library for classification tasks
decision-tree-classifier dataset-manager autoencoder-classification bagging-trees decision-stumps multilayer-perceptron-network deep-neural-networks rocchio-algorithm knn-algorithm classification-algorithm linear-discriminant-analysis multilayer-perceptron naive-bayes-classifier quadratic-discriminant-analysis random-forest-classifier support-vector-classifier feature-selection subset-selection pca statistical-tests
Language:C#
StarlangSoftware / Classification-Cy
Machine learning library for classification tasks
deep-neural-networks naive-bayes-classifier feature-selection pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm bagging-trees
Language:Cython
StarlangSoftware / Classification-Js
Machine Learning Library for Classification Tasks
deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm bagging-trees classification-algorithm
Language:TypeScript