yuchen0908 / coursera_andrew_ml_implementation

The code is to practise Andrew's ML course's code exercises

coursera_andrew_ml_implementation

1. The code is to practise Andrew's ML course's code exercises
2. All the codes have passed course's code valiation. In general, 80% or more is achieved.

Brief introduction

• Week 2 - Linear regression
• Week 3 - Logistic regression
• Week 4 - Neural network
• Week 5 - Neural network2
• Week 6 - Bias & Variance trade off, and general ML validation framework
• Week 7 - SVM
• Week 8 - PCA
• Week 9 - Anomaly detection

Code running environment Octave

Reference course link