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澳门ICETT机构发表了关于利用16种人格因素(16 PF)数据构建高等教育决策支持系统(DSS)的电子设计自动化(EDA)和模型开发成果。该研究应用了“增强型聚类”和“深度集成学习”方法。
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Kernels for machine learning problems
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Building Decision Trees From Scratch In Python
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.
Ensemble Learning for Apache Spark ?
This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.
Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)
Implementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM