GitHub / CodeLtDave / Boosting-Algorithms-ML-Seminararbeit
Exploration of Boosting Algorithms in Machine Learning: This repository hosts a seminar paper examining key boosting algorithms like AdaBoost, Gradient Boosting, and XGBoost. It includes theoretical insights, practical applications, and comparative analyses, providing a comprehensive understanding of boosting techniques in ML.
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PURL: pkg:github/CodeLtDave/Boosting-Algorithms-ML-Seminararbeit
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Open issues: 1
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Language: Jupyter Notebook
Size: 36 MB
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Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: about 1 year ago
Topics: adaboost, algorithmic-research, boosting, boosting-algorithms, boosting-ensemble, data-science, ensemble-learning, gbt, gradient-boosting, machine-learning, ml, statistical-learning, supervised-learning