This section presents projects addressing classification tasks:
- Kernel Methods: implementation of kernel methods in machine learning for classification using Support Vector Machines (SVM)
- Linear Classification: comparison and analysis of
classic methods of linear classification in machine learning:
- Logistic Regression (LR)
- Support Vector Machines (SVM)
- Metric Learning: training custom metrics based on Mahalanobis distance for metric methods of classification in tasks with limited datasets (determining the author of a painting).