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GitHub topics: bootstrap-aggregating

Kaitannn/Polling-Optimisation-for-Gradient-Descent

Expediting Convergence via Polling Optimisation for Gradient Descent in Neural Networks

Language: Batchfile - Size: 20.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

gabrielegilardi/DecisionTree

Regression and Classification Using Decision Tree, Random Tree, Bootstrap Aggregating, and Boosting.

Language: Python - Size: 103 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ViktorC/OSML

A Python library of 'old school' machine learning methods such as linear regression, logistic regression, naive Bayes, k-nearest neighbors, decision trees, and support vector machines.

Language: Python - Size: 337 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Related Keywords
bootstrap-aggregating 3 decision-tree 2 svm 1 supervised-learning 1 ridge-regression 1 random-forest 1 quadratic-discriminant-analysis 1 principal-component-analysis 1 pandas 1 numpy 1 naive-bayes 1 machine-learning 1 logistic-regression 1 linear-regression 1 linear-discriminant-analysis 1 lasso-regression 1 knearest-neighbors 1 gradient-boosting 1 box-cox 1 bagging 1 tree-reduction 1 random-tree 1 python 1 adaboost 1 optimiser 1 learning-rate-hyperparameter 1 ensemble-hybrid-models 1 dynamic-learning-rate 1 adaptive-learning-approach 1