Stanford ML Coursera

andrew ng's coursera course. stanford university machine learning

Disclaimer: MATLAB code snippets were created by Professor Ng and the course staff members.

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
Week 1 - Introduction		Week 1 - Introduction
Week 10 - Large Scale Machine Learning		Week 10 - Large Scale Machine Learning
Week 11 - Application Photo OCR		Week 11 - Application Photo OCR
Week 2 - Linear Regression with Multiple Variables		Week 2 - Linear Regression with Multiple Variables
Week 3 - Logistic Regression		Week 3 - Logistic Regression
Week 4 - Neural Networks Representation		Week 4 - Neural Networks Representation
Week 5 - Neural Networks Learning		Week 5 - Neural Networks Learning
Week 6 - Applying Machine Learning		Week 6 - Applying Machine Learning
Week 7 - Support Vector Machines		Week 7 - Support Vector Machines
Week 8 - Unsupervised Learning		Week 8 - Unsupervised Learning
Week 9 - Anomaly Detection		Week 9 - Anomaly Detection
.gitattributes		.gitattributes
LICENSE		LICENSE
README.md		README.md

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