Coursera Machine Learning Assignments

Exercises from Andrew Ng's Machine Learning course on Coursera in Matlab/Octave, Python, and R

To download lecture videos visit the course website:

• Course website
• The course wiki page

Course Topics

Week 1

Introduction Linear Regression with One Variable

Week 2

Linear Regression with Multiple Variables

ex1

Week 3

Logistic Regression

Regularization

ex2 (Logistic regression)

Week 4

Neural Networks: Representation

ex3 (Multi-class classification and neural networks)

Week 5

Neural Networks: Learning

ex4 (Neural network learning)

Week 6

Advice for Applying Machine Learning

Machine Learning System Design

ex5 (Bias-variance)

Week 7

Support Vector Machines (SVMs)

ex6 (SVMs)

Week 8

Clustering

Dimensionality Reduction

ex7 (K-Means and PCA)

Week 9

Anomaly Detection

Recommender Systems

ex8 (Anomaly Detection and Recommender Systems)

Week 10

Large-Scale Machine Learning

Example of an application of machine learning