This repo contains my Stanford ML course assignments. The course is 11 weeks long taught by Andrew Ng (http://www.andrewng.org).
- Linear Regression with One Variable
- Linear Regression with Multiple Variables
- Octave Programming
- Logistic Regression
- Regularization
- Neural Networks: Representation
- Neural Networks: Learning
- Machine Learning System Design
- Support Vector Machines
- Unsupervised Learning
- Dimensionality Reduction
- Anomaly Detection
- Recommender Systems
- Large Scale Machine Learning
- Application: Photo OCR