coursera-machinelearning

Stanford University - Machine Learning by Andrew Ng

Summary

Notes for quick review, based on the existing review part of this course. The Octave/MATLAB programming content is not covered here.

Other review notes are available at:

A Python port of the assignments is available at:

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
exercises		exercises
homework		homework
images		images
lectures		lectures
ML-certificate.pdf		ML-certificate.pdf
MachineLearning-01.ipynb		MachineLearning-01.ipynb
MachineLearning-02.ipynb		MachineLearning-02.ipynb
MachineLearning-03.ipynb		MachineLearning-03.ipynb
MachineLearning-04.ipynb		MachineLearning-04.ipynb
MachineLearning-05.ipynb		MachineLearning-05.ipynb
MachineLearning-06.ipynb		MachineLearning-06.ipynb
MachineLearning-07.ipynb		MachineLearning-07.ipynb
MachineLearning-08.ipynb		MachineLearning-08.ipynb
MachineLearning-09.ipynb		MachineLearning-09.ipynb
MachineLearning-10.ipynb		MachineLearning-10.ipynb
MachineLearning-11.ipynb		MachineLearning-11.ipynb
MachineLearning.ipynb		MachineLearning.ipynb
README.md		README.md