Assignments were completed with GNU Octave, version 3.8.0

Introduction

Linear Regression with One Variable

(Optional) Linear Algebra Review

Linear Regression with Multiple Variables

Octave Tutorial

Programming Exercise 1 (Linear regression)

Logistic Regression

Regularization

Programming Exercise 2 (Logistic regression)

Neural Networks: Representation

Programming Exercise 3 (Multi-class classification and neural networks)

Neural Networks: Learning

Programming Exercise (Neural network learning)

Advice for Applying Machine Learning

Machine Learning System Design

Programming Exercise (Bias-variance)

Support Vector Machines (SVMs)

Programming Exercise (SVMs)

Clustering

Dimensionality Reduction

Programming Exercise (K-Means and PCA)

Anomaly Detection

Recommender Systems

Programming Exercise (Anomaly Detection and Recommender Systems)

Large-Scale Machine Learning

Example of an application of machine learning