Machine learning
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Updated
Nov 5, 2017 - Jupyter Notebook
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Machine learning
Containing all the coding projects and assignments I've completed in COS 226 @ Princeton (Data Structures & Algorithms)
AdaBoost Analysis and Optimization [Machine Learning I Course Project]
(1) portfolio paper https://dl.acm.org/doi/abs/10.1145/3487553.3524634 (2) ncRNA paper https://ieeexplore.ieee.org/document/9746494 (3) Collaborative learning applied to other datasets https://ieeexplore.ieee.org/document/9746494
Wine quality prediction with xgboost library
Comparison of Heterogeneous Bagging Ensemble using Neural Networks and Weak Learners and the impact of imbalanced data.
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