#Machine Learning class by Andrew Ng

This folder include all of the assignments I completed while following the incredible Machine Learning course by Andrew Ng on Coursera. I recommend it to everybody.

Every folder includes a .pdf file detailing the assignment and file structure. The files marked with a * are the ones I had to fill in. To be fair, there was a lot of skeleton code ready for me.

The assignments are still executable in their working form by using octave and running the ex<number> file, or additional files as detailed in the .pdf files.

Topics covered: Linear regression, Logistic regression, Principal component analysis, Dimensionality reduction, SVM, Neural networks, Clustering, Anomaly detection, Recommender Systems, Scaling and optimalization of Machine Learning systems

Date: Q4 2014