Machine learning depends on a number of algorithms for turning a data set into a model ... K-Nearest Neighbors, and Support Vector Machine (SVM). You can also use ensemble methods (combinations ...

support vector machines, and deep neural networks. Students write their own implementation of the algorithms in the Python programming language and explore their performance on realistic data sets.