This repo contains all code I have done in Machine Learning Coursera
1. machine-learning-ex1 - Linear Regression
2. machine-learning-ex2 - Logistic Regression
3. machine-learning-ex3 - Multi-class Classification and Neural Networks
4. machine-learning-ex4 - Neural Networks Learning
5. machine-learning-ex5 - Regularized Linear Regression and Bias v.s Variance
6. machine-learning-ex6 - This part is missing and will uploaed in the future
7. machine-learning-ex7 - K-means Clustering and Principal Component
8. machine-learning-ex8 - Anomaly Detection and Recommender Systems
9. OctaveBasicconcept - Some basic codes in Matlab/Octave