Some basic machine learning algorithms implemented in R, as partial requirements of Introduction to Machine Learning course offered in Koç University.
The implementations have very nice visualizations. I suggest that you take a look if you are interested.
Includes:
- Multivariate Parametric Classification
- Multiclass Linear Discrimination
- Multiclass Multilayer Perceptron
- Nonparametric Regression
- Decision Tree Regression
- Linear Discriminant Analysis
- Expectation Maximization Clustering