Regression and Classification Using Decision Tree, Random Tree, Bootstrap Aggregating, and Boosting.
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Updated
Oct 27, 2021 - Python
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bootstrap-aggregating
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Expediting Convergence via Polling Optimisation for Gradient Descent in Neural Networks
optimiser bootstrap-aggregating learning-rate-hyperparameter ensemble-hybrid-models adaptive-learning-approach dynamic-learning-rate
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Updated
Mar 17, 2024 - Batchfile
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.
machine-learning random-forest numpy svm naive-bayes linear-regression pandas supervised-learning logistic-regression ridge-regression decision-tree principal-component-analysis quadratic-discriminant-analysis linear-discriminant-analysis gradient-boosting lasso-regression bagging knearest-neighbors bootstrap-aggregating box-cox
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Updated
Aug 8, 2019 - Python
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