Octave / Matlab homework assignments for the Stanford Machine Learning course.
Week 1
- Linear Regression with one variable
- Linear algebra review
Week 2
- Linear Regression with Multiple Variables
- Octave Tutorial
Week 3
- Logistic Regression
- Regularization
Week 4
- Neural Networks: Representation
Week 5
- Neural Networks: Learning
Week 6
- Advice for Applying Machine Learning
- Machine Learning System Design
Week 7
- Support Vector Machines
Week 8
- Clustering
- Dimensionality Reduction
Week 9
- Anomaly Detection
- Recommender Systems
Week 10
- Large-Scale Machine Learning
- Example of an application of machine learning