Introduction-to-Machine-Learning 2019

School Course

Assignment 1:

Exercise 1: k-NN Classification

Exercise 2: k-NN Regression

Exercise 3: MNIST k-NN Classification

Assignment 2:

Exercise 1: Multivariate regression

Exercise 2: Polynomial regression

Exercise 3: Multivariate Logistic Regression

Exercise 4: Nonlinear logistic regression

Exercise 6: Forward selection

Exercise 7: Regularization

Exercise 8: Coefficient accuracy

Assignment 3:

Exercise 1: Best possible tree

Exercise 2: Classifying the BM-dataset

Exercise 3: Hand-written digit recognition

Exercise 4: Learning the XOR-gate

Exercise 5: Neural network playground

Assignment 4:

Exercise 1: Clustering

Exercise 2: Non-linear Dimensionality Reduction

Exercise 3: Visualization of Results