Machine Learning Exercises

Implementations of Machine Learning algorithms.

simple_perceptron

Implements the Perceptron Learning Algorithm on n-dimensional datasets for solving classification problems. Requires numpy.

linear_regression

Implements Linear Regression on n-dimensional datasets for solving classification and regression problems. Regularization with Weight Decay can be enabled. Requires numpy.

logistic_regression

Implements Logistic Regression with Stochastic Gradient Descent on n-dimensional datasets for classification problems. Requires numpy.

support_vector_machine

Implements a Support Vector Machine with hard margin on n-dimensional datasets for solving classification problems. Requires numpy and cvxopt.