Self-made lecture notes and quiz for all the weeks of Machine Learning course by Andrew Ng on Coursera.
Week 1: Introduction to Machine Learning, Linear Regression and Linear Algebra.
Week 2: Linear Regression with multiple variables, Polynomial Regression and Introduction to MATLAB.
Week 3: Logistic Regression and Regularization.
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 and Dimensionality Reduction.
Week 9: Anomaly Detection and Recommender System.
Week 10: Large Scale Machine Learning.
Week 11: Application Example: Photo OCR.