Exercise 1: Perceptron Implementation
Exercise 2: Regression Implementation
Exercise 3: Playing with Regression
Exercise 4: Nearest Neighbour Regression
Exercise 1: Poisson Regression
Exercise 2: Fun with Classification
Exercise 3: Support Vector Regression
Exercise 4: Kernels
Exercise 1: Decision Trees
Exercise 2: Adaboost
Exercise 3: CNN Implementation
Exercise 1: Gaussian Mixture Model
Exercise 2: VAEs and GANs