Machine Learning Class (Andrew Ng)

These are my solutions to the programming exercises in the class.

All code is written in Octave.

Exercise 1

Implementing linear regression with gradient descent

Exercise 2

Implementing regularized logistic regression

Exercise 3

Implementing multi-class one-vs-all logistic regression and neural networks

Exercise 4

Implementing neural networks and backpropagation

Exercise 5

Implementing regularized linear regression and bias vs variance

Exercise 6

Implementing support vector machines for spam classification

Exercise 7

Implementing k-means clustering and principal components analysis

Exercise 8

Implementing anomaly detection and recommender systems