Solved assignments from the Machine Learning course led by professor Andrew Ng at coursera.org. Done in Octave/Matlab.
Contains both mandatory and optional exercises.
- machine-learning-ex1 - Multivariate linear regression
- machine-learning-ex2 - (Regularized) logistic regression
- machine-learning-ex3 - Neural Networks - creation
- machine-learning-ex4 - Back-propagation and self-learning NN
- machine-learning-ex5 - Evaluating a learning algorithm - Bias/Variance trade-off
- machine-learning-ex6 - Support Vector Machines (SVM) - optimization objective, kernels
- machine-learning-ex7 - K-Means clustering, PCA (principal component analysis), dimension reduction
- machine-learning-ex8 - Anomaly Detection (Multiv. Gaussian Distribution), Recommender Systems (Collab. Filtering)