This repository contains the programming assignments I have completed in Andrew Ng's course Machine Learning.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include:
- Week 1: Introduction (no programming assignment)
- Week 2: Linear Regression with Multiple Variables
- Week 3: Logistic Regression
- Week 4: Neural Networks: Representation
- Week 5: Neural Networks: Learning
- Week 6: Advice for Applying Machine Learning
- Week 7: Support Vector Machines
- Week 8: Unsupervised Learning
- Week 9: Anomaly Detection
- Week 10: Large Scale Machine Learning (no programming assignment)
- Week 11: Application Example: Photo OCR (no programming assignment)