Koç University Machine Learning course projects. Course focuses on both mathematical background and real life applications of the algorithms.
Covered Topics:
- Regression, Classification, Clustering and Dimensionality Reduction Methods
- Supervised and Unsupervised Models
- Linear and Nonlinear Models
- Parametric and Nonparametric Models
- Combinations of Multiple Models
- Comparisons of Multiple Models and Model Selection.
Projects:
- Multivariate Parametric Classification
- Naïve Bayes’ Classifier
- Discrimination by Regression
- Nonparametric Regression
- Decision Tree Regression
- Support Vector Machine Classification
- Linear Discriminant Analysis
- Expectation-Maximization Clustering
- Spectral Clustering