This is a notebook of online course Machine Learning made by Andrew Ng. Contents are divided by "week", with a key idea noted behind in the file name.
- Week_1: Optimize θs for linear regression model: [1] Gradient Descent; [2] Normal Equation;
- Week_2: Regularization methods for Gradient Descent and Normal Equation;
- Week_3: Classification model
- Week_4: Neural Network
In each file, there are:
- LectureNote.md: notes on this week's class;
- Script_intro.md: how method realised in scripts, with practical example and result comparision with built-in function in MATLAB
- Method.m: codes to realize.