GitHub - radutanasa/MachineLearningStanford: Programming assignments for the Machine Learning course offered by Stanford on Coursera.

These are the programming assignments solved by me in Octave for the late 2014 Stanford machine learning class.

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Course Slides		Course Slides
Week 02 - Linear Regression		Week 02 - Linear Regression
Week 03 - Logistic Regression		Week 03 - Logistic Regression
Week 04 - Multi-class Classification and Neural Networks		Week 04 - Multi-class Classification and Neural Networks
Week 05 - Neural Network Learning		Week 05 - Neural Network Learning
Week 06 - Regularized Linear Regression and Bias:Variance		Week 06 - Regularized Linear Regression and Bias:Variance
Week 07 - Support Vector Machines		Week 07 - Support Vector Machines
Week 08 - K-Means Clustering and PCA		Week 08 - K-Means Clustering and PCA
Week 09 - Anomaly Detection and Recommender Systems		Week 09 - Anomaly Detection and Recommender Systems
README.md		README.md

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