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Logistic Regression Machine Learning Example ¦ Simply Explained
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
CEO22d
Combined Sewer Overflow (CSO) monitoring: Opportunities for artificial intelligence and machine learning
A combined sewer community can leverage the following from machine learning: Algorithm speed can provide a result in ... Figure 2: Roadmap for the development of a ML solution for CSO monitoring An ...
IEEE23d
Wind Turbine Condition Monitoring Based on Bagging Ensemble Strategy and KNN Algorithm
In this paper, a CM method that is based on the KNN regression method and bagging ensemble strategy is proposed. The proposed method is validated by SCADA data collected from a field WT. The results ...
World Scientific24d
Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer’s Disease
College of Computing and Information Sciences, University of Technology and Applied Sciences, P.O. Box: 135, Suhar 311, Sultanate of Oman, Oman ...
GitHub24d
Tweet Classification with Machine Learning
tweet_classification/ │ ├── data/ # CSV dataset files │ └── labeled_data.csv │ ├── models/ # Contains each model's training function │ ├── knn_model.py │ ├── svm_model.py │ ├── ...
ArchDaily27d
Between Algorithms and Ancestral Knowledge: Expanding the Concept of Architectural Intelligence
Generative algorithms, machine learning, and parametric modeling not only accelerate design processes but also introduce a new layer of systemic intelligence. These tools support more efficient ...